Jonathan DEKHTIAR

Data Scientist Engineer and PhD Student in Computer Vision and Machine Learning for the Manufacturing Industry.

CEO and Founder of FeedCrunch.IO ~ 92 Subscribers ~

RSS Feed Explorer

DataRadar - Do you have enough data about your #data?




# Post's Title Publication Date Link
4481 A Gentle Introduction to the Bag of Words Model ~ (machinelearningmastery.com) 2017/12/05 16:16 Link
4448 Tensorflow and PyTorch Design Tradeoffs ~ (hackernoon.com) 2017/11/14 16:50 Link
4447 A Keras Implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules" ~ (github.com) 2017/11/06 14:00 Link
4446 EraseReLU May Help You Your Results with Deep Neural Networks ~ (www.erogol.com) 2017/11/05 21:42 Link
4445 How to use Tensorboard with PyTorch ~ (www.erogol.com) 2017/11/05 20:41 Link
4444 Online Hard Example Mining on PyTorch ~ (www.erogol.com) 2017/11/05 20:40 Link
4443 Instance Noise - A Trick for Stabilising GAN Training ~ (www.inference.vc) 2017/10/22 19:41 Link
4442 Save and Load Your Keras Deep Learning Models ~ (machinelearningmastery.com) 2017/10/22 19:32 Link
4441 How to Prepare Sequence Prediction for Truncated Backpropagation Through Time in Keras ~ (machinelearningmastery.com) 2017/10/22 19:28 Link
4440 Keras-Vis Documentation ~ (raghakot.github.io) 2017/10/22 19:27 Link
4439 Tutorial on Writing a Custom Keras Layer ~ (keunwoochoi.wordpress.com) 2017/10/22 19:22 Link
4438 Class Activation Maps in Keras for Visualizing Where Deep Learning Networks Pay Attention ~ (jacobgil.github.io) 2017/10/22 19:21 Link
4437 Visualizing Deep Neural Networks Classes and Features ~ (ankivil.com) 2017/10/22 19:20 Link
4436 Taking Keras to the Zoo ~ (gab41.lab41.org) 2017/10/22 19:17 Link
4435 HowTo design your Deep Dream System ~ (asolda.github.io) 2017/10/22 19:12 Link
4434 MacOS for Deep Learning in Python with TensorFlow and Keras ~ (www.pyimagesearch.com) 2017/10/22 19:10 Link
4433 Distributed TensorFlow and the hidden layers of engineering work ~ (cloudplatform.googleblog.com) 2017/10/22 19:09 Link
4432 Image Completion with Deep Learning in TensorFlow ~ (bamos.github.io) 2017/10/22 19:08 Link
4431 Best Practices for Document Classification with Deep Learning ~ (machinelearningmastery.com) 2017/10/22 19:05 Link
4430 LSTM implementation explained ~ (apaszke.github.io) 2017/10/22 19:03 Link
4398 Finding the Most One-Dimensional Popular Artist ~ (beckernick.github.io) 2017/10/11 17:34 Link
4397 Deriving the Sigmoid Derivative for Neural Networks ~ (beckernick.github.io) 2017/10/11 17:33 Link
4396 Understanding Convolution, the core of Convolutional Neural Networks ~ (beckernick.github.io) 2017/10/11 17:32 Link
4395 Dynamic Programming - Knapsack Optimization ~ (beckernick.github.io) 2017/10/11 17:32 Link
4394 Hadoop MapReduce in Python vs. Hive - Finding Common Wikipedia Words ~ (beckernick.github.io) 2017/10/11 17:31 Link
4393 Matrix Factorization for Movie Recommendations in Python ~ (beckernick.github.io) 2017/10/11 17:30 Link
4392 The Right Way to Oversample in Predictive Modeling ~ (beckernick.github.io) 2017/10/11 17:29 Link
4391 Music Recommendations with Collaborative Filtering and Cosine Distance ~ (beckernick.github.io) 2017/10/11 17:28 Link
4390 Predicting Human Activity from Smartphone Accelerometer and Gyroscope Data ~ (beckernick.github.io) 2017/10/11 17:28 Link
4389 Predicting Ratings from 1+ GBs of Yelp Reviews ~ (beckernick.github.io) 2017/10/11 17:27 Link
4388 Clustering US Laws using TF-IDF and K-Means ~ (beckernick.github.io) 2017/10/11 17:20 Link
4387 Convolutional Neural Networks Tutorial in TensorFlow ~ (adventuresinmachinelearning.com) 2017/10/11 10:55 Link
4386 Deep Learning with Keras on Google Compute Engine ~ (medium.com) 2017/10/11 10:54 Link
4385 Recommendation Systems with Spark on Google DataProc ~ (medium.com) 2017/10/11 10:53 Link
4384 Building a Facial Recognition Pipeline with Deep Learning in Tensorflow ~ (hackernoon.com) 2017/10/11 10:53 Link
4383 Sparse Coding - A Simple Explanation ~ (blog.metaflow.fr) 2017/10/11 09:58 Link
4382 Deep Learning CNN’s in Tensorflow with GPUs ~ (hackernoon.com) 2017/10/11 09:57 Link
4381 Building a Neural Network from Scratch in Python and in TensorFlow ~ (beckernick.github.io) 2017/10/11 09:53 Link
4380 Gaussian Mixture VAE - Variational Inference, Generative Models, and Deep Neural Networks ~ (ruishu.io) 2017/10/11 09:52 Link
4379 Autoencoding a Single Bit ~ (ruishu.io) 2017/10/11 09:51 Link
4378 A Gentle Introduction to XGBoost for Applied Machine Learning ~ (machinelearningmastery.com) 2017/10/11 09:47 Link
4377 TensorFlow - A primer ~ (blog.metaflow.fr) 2017/10/11 09:45 Link
4376 Tensorflow - Mutating Variables and Control Flow ~ (blog.metaflow.fr) 2017/10/11 09:43 Link
4375 Tensorflow How to - a Universal Approximator Inside a Neural Net ~ (blog.metaflow.fr) 2017/10/11 09:39 Link
4374 Tensorflow - a Proposal of Good Practices for Files, Folders and Models Architecture ~ (blog.metaflow.fr) 2017/10/11 09:34 Link
4373 TensorFlow - How to Freeze a Model and Serve it with a Python API ~ (blog.metaflow.fr) 2017/10/11 09:28 Link
4372 Tensorflow - Shapes and Dynamic Dimensions ~ (blog.metaflow.fr) 2017/10/11 09:28 Link
4371 Tensorflow - Saving, Restoring and Mixing Multiple Models ~ (blog.metaflow.fr) 2017/10/11 09:26 Link
4370 Tensorflow - How to Optimise Your Input Pipeline With Queues and Multi-threading ~ (blog.metaflow.fr) 2017/10/11 09:25 Link
4369 How to deploy Machine Learning Models with TensorFlow - Part 2 - Containerize it! ~ (medium.com) 2017/10/11 09:24 Link
4368 How to deploy Machine Learning Models with TensorFlow - Part 3 - In the Cloud with Kubernetes ~ (medium.com) 2017/10/11 09:24 Link
4367 How to deploy Machine Learning Models with TensorFlow - Part 1 - Make Your Model Ready for Serving ~ (medium.com) 2017/10/11 09:08 Link
4366 PySyft - Homomorphically Encrypted Deep Learning Library ~ (github.com) 2017/10/11 09:04 Link
4365 Generative Adversarial Network (GAN) in TensorFlow - Part 5 ~ (mlnotebook.github.io) 2017/10/11 09:03 Link
4364 Generative Adversarial Network (GAN) in TensorFlow - Part 4 ~ (mlnotebook.github.io) 2017/10/11 09:03 Link
4363 Generative Adversarial Network (GAN) in TensorFlow - Part 3 ~ (mlnotebook.github.io) 2017/10/11 09:03 Link
4362 Generative Adversarial Network (GAN) in TensorFlow - Part 2 ~ (mlnotebook.github.io) 2017/10/11 09:02 Link
4361 Generative Adversarial Network (GAN) in TensorFlow - Part 1 ~ (mlnotebook.github.io) 2017/10/11 09:02 Link
4360 A Gentle Guide to Using Batch Normalization in Tensorflow ~ (ruishu.io) 2017/10/09 09:58 Link
4359 Tutorial on Singular Value Decomposition (SVD) ~ (blog.statsbot.co) 2017/10/08 19:58 Link
4358 DevOps Pipeline for a Machine Learning Project ~ (blog.statsbot.co) 2017/10/05 12:44 Link
4357 How to setup your own environment for deep learning - Part 2 - Remote Access ~ (tuatini.me) 2017/10/05 12:44 Link
4356 How to Setup Your Own Environment for Deep Learning - Part 1 - Local Installation ~ (tuatini.me) 2017/10/05 12:43 Link
4355 Practical Image Segmentation With Unet in Pytorch ~ (tuatini.me) 2017/10/05 12:42 Link
4354 Tutorial on Deep Learning with PyTorch - An Unofficial Startup Guide. ~ (iamtrask.github.io) 2017/10/04 12:46 Link
4353 Building Safe AI - A Tutorial for Encrypted Deep Learning ~ (iamtrask.github.io) 2017/10/04 12:46 Link
4352 Deconvolution and Checkerboard Artifacts ~ (distill.pub) 2017/10/04 08:49 Link
4351 GAN by Example using Keras on Tensorflow Backend ~ (medium.com) 2017/10/03 14:01 Link
4350 xgboostExplainer - a new R package that makes XGBoost interpretable ~ (medium.com) 2017/10/02 12:08 Link
4349 T-SNE and Machine Learning ~ (mark-borg.github.io) 2017/10/02 09:43 Link
4348 7 Important Model Evaluation Error Metrics Everyone should know ~ (www.analyticsvidhya.com) 2017/10/01 21:53 Link
4347 TensorFlow implementation of ENet trained on the Cityscapes dataset. ~ (github.com) 2017/09/28 16:39 Link
4346 Variational Recurrent Neural Network (VRNN) with PyTorch ~ (lirnli.wordpress.com) 2017/09/28 16:37 Link
4345 RNNoise - Using Deep Learning for Noise Suppression ~ (hacks.mozilla.org) 2017/09/28 16:35 Link
4344 Complete Guide to TensorFlow for Deep Learning with Python ~ (dealscode.net) 2017/09/28 16:34 Link
4343 GenSim - Topic Modelling for Humans ~ (github.com) 2017/09/28 16:33 Link
4342 RBM based Autoencoders with Tensorflow ~ (medium.com) 2017/09/28 16:32 Link
4341 Notes on the Implementation of DenseNet in TensorFlow. ~ (medium.com) 2017/09/28 16:31 Link
4340 HowTo profile TensorFlow ~ (medium.com) 2017/09/28 16:30 Link
4339 PyTorch Tutorial Distilled ~ (medium.com) 2017/09/28 16:29 Link
4338 Introduction to KNN, K-Nearest Neighbors - Simplified ~ (www.analyticsvidhya.com) 2017/09/28 16:28 Link
4337 Franchise - a SQL Notebook ~ (franchise.cloud) 2017/09/28 13:29 Link
4336 Enterprise-ready Dashboards With Shiny and Databases ~ (rviews.rstudio.com) 2017/09/28 13:28 Link
4335 Learning Math with LSTMs and Keras ~ (cpury.github.io) 2017/09/27 21:38 Link
4334 Getting Started With Neural Networks ~ (yerevann.github.io) 2017/09/27 21:32 Link
4333 Analysis of the Kaggle Challenge - Diabetic Retinopathy Detection Contest ~ (yerevann.github.io) 2017/09/27 21:32 Link
4332 Apache Spark vs. Apache Flink ~ (dev.to) 2017/09/27 18:16 Link
4331 Spoken Language Identification With Deep Convolutional Networks ~ (yerevann.github.io) 2017/09/27 15:45 Link
4330 Learning Holiness with Recurrent Neural Networks ~ (cpury.github.io) 2017/09/27 15:44 Link
4329 SQL Recap for Interviews ~ (medium.com) 2017/09/27 12:58 Link
4328 Generating Constitution With Recurrent Neural Networks ~ (yerevann.github.io) 2017/09/27 09:36 Link
4327 Implementing Dynamic Memory Networks ~ (yerevann.github.io) 2017/09/27 09:34 Link
4326 Combining CNN and RNN for Spoken Language Identification ~ (yerevann.github.io) 2017/09/27 09:30 Link
4325 Automatic transliteration with LSTM ~ (yerevann.github.io) 2017/09/27 09:29 Link
4324 Sentence Representations and Question Answering ~ (yerevann.github.io) 2017/09/27 09:29 Link
4323 Robot Localization - Part 3 - The Kalman Filter ~ (www.deepideas.net) 2017/09/27 09:22 Link
4322 Robot Localization - Part 2 - The Histogram Filter ~ (www.deepideas.net) 2017/09/27 09:22 Link
4321 Dealing with Unbalanced Classes in Machine Learning ~ (www.deepideas.net) 2017/09/27 09:21 Link
4320 Robot Localization - Part 1 - Recursive Bayesian Estimation ~ (www.deepideas.net) 2017/09/27 09:20 Link
4319 How to Build an Image Classification Web App With VGG-16 ~ (engineering.skymind.io) 2017/09/27 09:19 Link
4318 Distributed Deep Learning - Part 1 - An Introduction to Distributed Training of Neural Networks ~ (engineering.skymind.io) 2017/09/27 09:19 Link
4317 Wasserstein GAN in Keras ~ (myurasov.github.io) 2017/09/27 09:17 Link
4316 How to Train Your Own Object Detector with TensorFlow’s Object Detector API ~ (medium.com) 2017/09/27 09:16 Link
4315 Random Forest Regression ~ (chrisalbon.com) 2017/09/27 09:05 Link
4314 Random Forest Classifier ~ (chrisalbon.com) 2017/09/27 09:05 Link
4313 Radius-Based Nearest Neighbor Classifier ~ (chrisalbon.com) 2017/09/27 09:05 Link
4312 One vs. All Strategy with Logistic Regression ~ (chrisalbon.com) 2017/09/27 09:04 Link
4311 Speed / Accuracy Trade-offs for Modern Convolutional Object Detectors ~ (arxiv.org) 2017/09/27 09:03 Link
4310 Tensorflow Tutorials and Best Practices. ~ (github.com) 2017/09/27 09:02 Link
4309 Pre-configured Amazon AWS Deep Learning AMI with Python ~ (www.pyimagesearch.com) 2017/09/27 00:00 Link
4308 Challenges of Reproducing R-NET Neural Network using Keras ~ (yerevann.github.io) 2017/09/26 22:36 Link
4307 Recurrent Neural Networks in Tensorflow - Part 1 ~ (r2rt.com) 2017/09/26 22:23 Link
4306 Recurrent Neural Networks in Tensorflow - Part 2 ~ (r2rt.com) 2017/09/26 22:22 Link
4305 Recurrent Neural Networks in Tensorflow - Part 3 - Variable Length Sequences ~ (r2rt.com) 2017/09/26 22:22 Link
4304 Styles of Truncated Backpropagation ~ (r2rt.com) 2017/09/26 22:21 Link
4303 Understanding, Deriving and Extending the LSTM ~ (r2rt.com) 2017/09/26 22:21 Link
4302 Preliminary Note on the Complexity of a Neural Network ~ (r2rt.com) 2017/09/26 22:20 Link
4301 Binary Stochastic Neurons in Tensorflow ~ (r2rt.com) 2017/09/26 22:19 Link
4300 Non-Zero Initial States for Recurrent Neural Networks ~ (r2rt.com) 2017/09/26 22:19 Link
4299 Beyond Binary - Ternary and One-hot Neurons ~ (r2rt.com) 2017/09/26 22:19 Link
4298 Deconstruction with Discrete Embeddings ~ (r2rt.com) 2017/09/26 22:18 Link
4297 Representational Power of Deeper Layers ~ (r2rt.com) 2017/09/26 22:17 Link
4296 Inverting a Neural Net ~ (r2rt.com) 2017/09/26 22:17 Link
4295 First Convergence Bias ~ (r2rt.com) 2017/09/26 22:16 Link
4294 Gradient Boosting Explained ~ (gormanalysis.com) 2017/09/26 22:14 Link
4293 Understanding Generative Adversarial Networks ~ (danieltakeshi.github.io) 2017/09/26 22:13 Link
4292 Logistic Regression using Python with Scikit-Learn and NumPy on the MNIST Dataset ~ (medium.com) 2017/09/26 22:07 Link
4289 Teaching an AI to play a simple game using Q-learning ~ (www.practicalai.io) 2017/09/25 08:52 Link
4288 Teaching a Neural Network to Play a Game Using Q-learning ~ (www.practicalai.io) 2017/09/25 08:51 Link
4287 Deep Learning From Scratch - Part 5 - Multi-Layer Perceptrons ~ (www.deepideas.net) 2017/09/25 08:00 Link
4286 Deep Learning From Scratch - Part 4 - Gradient Descent and Backpropagation ~ (www.deepideas.net) 2017/09/25 07:59 Link
4285 Deep Learning From Scratch - Part 3 - Training Criterion ~ (www.deepideas.net) 2017/09/25 07:59 Link
4284 Deep Learning From Scratch - Part 2 - Perceptrons ~ (www.deepideas.net) 2017/09/25 07:58 Link
4283 Deep Learning From Scratch - Part 1 - Computational Graphs ~ (www.deepideas.net) 2017/09/25 07:58 Link
4282 The Beginner’s Guide to Text Vectorization ~ (monkeylearn.com) 2017/09/25 07:56 Link
4281 Text Classification and Sentiment Analysis ~ (ataspinar.com) 2017/09/25 07:54 Link
4280 Visualizing Data ~ (ataspinar.com) 2017/09/25 07:53 Link
4279 NLP and Sentiment Analysis - Part 2 - Bags of Words ~ (ataspinar.com) 2017/09/25 07:52 Link
4278 NLP and Sentiment Analysis - Part 1 - Naive Bayes Classifier ~ (ataspinar.com) 2017/09/25 07:51 Link
4277 Regression, Logistic Regression and Maximum Entropy - Part 2 ~ (ataspinar.com) 2017/09/25 07:50 Link
4276 Regression, Logistic Regression and Maximum Entropy - Part 1 ~ (ataspinar.com) 2017/09/25 07:50 Link
4275 The Perceptron ~ (ataspinar.com) 2017/09/25 07:49 Link
4274 Classification with Scikit-Learn ~ (ataspinar.com) 2017/09/25 07:48 Link
4273 Building Convolutional Neural Networks with Tensorflow ~ (ataspinar.com) 2017/09/24 19:24 Link
4272 How To Speed Up Logistic Regression On Very Large Data with Scikit-Learn ~ (chrisalbon.com) 2017/09/24 18:57 Link
4271 How To Use Logistic Regression with Scikit-Learn ~ (chrisalbon.com) 2017/09/24 18:55 Link
4270 Handling Imbalanced Classes In Logistic Regression ~ (chrisalbon.com) 2017/09/24 18:54 Link
4269 Handle Imbalanced Classes In Random Forest ~ (chrisalbon.com) 2017/09/24 18:54 Link
4268 Feature Importance in Machine Learning ~ (chrisalbon.com) 2017/09/24 18:53 Link
4267 What Is Natural Language Processing? ~ (machinelearningmastery.com) 2017/09/24 18:53 Link
4266 Debugging and Visualising training of Neural Network with TensorBoard ~ (www.analyticsvidhya.com) 2017/09/24 18:51 Link
4265 Gentle Introduction to Models for Sequence Prediction with Recurrent Neural Networks ~ (machinelearningmastery.com) 2017/09/24 18:51 Link
4264 Multi-Dimensional Reduction and Visualisation with t-SNE ~ (mark-borg.github.io) 2017/09/24 18:46 Link
4263 Sentiment Analysis on Twitter Using Word2vec and Keras ~ (ahmedbesbes.com) 2017/09/24 18:43 Link
4262 ZhuSuan - A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow ~ (github.com) 2017/09/21 13:29 Link
4261 Deep Learning for Object Detection - A Comprehensive Review ~ (medium.com) 2017/09/21 13:27 Link
4260 Functional Programming for Deep Learning ~ (medium.com) 2017/09/21 13:27 Link
4259 NumPy Cheatsheet ~ (mycheatsheets.com) 2017/09/21 13:25 Link
4258 In Raw Numpy - t-SNE Algorithm ~ (nlml.github.io) 2017/09/21 13:21 Link
4257 All the Linear Algebra You Need for AI ~ (github.com) 2017/09/21 13:16 Link
4256 Clustering with PyTorch ~ (github.com) 2017/09/21 13:10 Link
4255 Interpreting Neurons in an LSTM Network ~ (yerevann.github.io) 2017/09/21 13:09 Link
4254 Implementing Batch Normalization in Tensorflow ~ (r2rt.com) 2017/09/21 13:08 Link
4253 7 Applications of Deep Learning for Natural Language Processing ~ (machinelearningmastery.com) 2017/09/21 13:03 Link
4252 Stabilizing GAN Training with Multiple Random Projections ~ (www.cse.wustl.edu) 2017/09/21 13:02 Link
4251 Python for Finance - Part 3 - A Moving Average Trading Strategy ~ (www.learndatasci.com) 2017/09/21 13:01 Link
4250 Python for Finance - Part 2 - Intro to Quantitative Trading Strategies ~ (www.learndatasci.com) 2017/09/21 13:01 Link
4249 Python for Finance - Part 1 - Yahoo Finance API, Pandas and Matplotlib ~ (www.learndatasci.com) 2017/09/21 13:00 Link
4248 Tensorforce - a Tensorflow Library for Applied Reinforcement Learning ~ (reinforce.io) 2017/09/21 12:56 Link
4247 Convolutional Output Size Calculator ~ (mohanadkaleia.com) 2017/09/21 12:52 Link
4245 Geonotebook - a Jupyter Notebook Extension for Geospatial Visualization and Analysis ~ (github.com) 2017/09/19 08:30 Link
4244 Extremely Fast MySQL Backup and Restore Using Mydumper/Myloader ~ (dotlayer.com) 2017/09/13 12:24 Link
4243 RStudio Cheatsheets ~ (www.rstudio.com) 2017/09/13 12:24 Link
4242 An Intuitive Guide to Deep Network Architectures ~ (medium.com) 2017/09/13 12:15 Link
4241 Deep Learning for Object Detection - A Comprehensive Review ~ (medium.com) 2017/09/13 12:14 Link
4240 Everything you need to know about Adam Optimizer ~ (medium.com) 2017/09/13 12:12 Link
4239 Variational Auto-encoder - Peeking the code ~ (medium.com) 2017/09/13 12:11 Link
4238 Sentence Embedding ~ (medium.com) 2017/09/13 12:10 Link
4237 Paper Summary - Opinion Mining with Deep Recurrent Neural Networks ~ (medium.com) 2017/09/13 12:09 Link
4236 Cross-Lingual Word Embeddings - What they are? ~ (medium.com) 2017/09/13 12:09 Link
4235 PyTorch - First program and walk through ~ (medium.com) 2017/09/13 12:07 Link
4229 How I Used Deep Learning To Train A Chatbot To Talk Like Me ~ (adeshpande3.github.io) 2017/09/13 08:59 Link
4228 K-nearest Neighbors - the Laziest Machine Learning Technique ~ (www.kdnuggets.com) 2017/09/13 08:55 Link
4227 Better Database Migrations in Postgres ~ (www.craigkerstiens.com) 2017/09/13 08:54 Link
4226 Rapid Tutorial on Long Short Term Memory Neural Networks ~ (dataskeptic.com) 2017/09/13 08:53 Link
4225 Understanding Boosted Trees Models ~ (sadanand-singh.github.io) 2017/09/13 08:52 Link
4224 A Practical Guide to Tree Based Learning Algorithms ~ (sadanand-singh.github.io) 2017/09/13 08:50 Link
4223 When Not to Use Deep Learning ~ (hyperparameter.space) 2017/09/13 08:47 Link
4222 Object Detection with Deep Learning and OpenCV ~ (www.pyimagesearch.com) 2017/09/13 08:46 Link
4221 Deep Learning Techniques for Music Generation - A Survey ~ (arxiv.org) 2017/09/13 08:45 Link
4220 Amazon DynamoDB vs Apache Cassandra ~ (www.beyondthelines.net) 2017/09/13 08:44 Link
4218 Neural Language Modeling From Scratch - Part 1 ~ (ofir.io) 2017/09/13 08:21 Link
4217 Deploy AutoML as a service using Flask ~ (github.com) 2017/09/13 08:19 Link
4215 Dimensionality Reduction Using t-SNE ~ (www.displayr.com) 2017/09/13 08:14 Link
4214 Technical Book on Deep Learning hosted and written on Github ~ (github.com) 2017/09/12 17:21 Link
4212 Real-time Face Detection and Emotion/gender Classification With a Keras Cnn Model and Opencv. ~ (github.com) 2017/09/12 17:15 Link
4211 Practical Pandas - Part 3 - Exploratory Data Analysis ~ (tomaugspurger.github.io) 2017/09/12 17:14 Link
4210 Practical Pandas - Part 2 - More Tidying More Data and Merging ~ (tomaugspurger.github.io) 2017/09/12 17:14 Link
4209 Practical Pandas - Part 1 - Reading the Data ~ (tomaugspurger.github.io) 2017/09/12 17:14 Link
4208 Tidy Data in Action ~ (tomaugspurger.github.io) 2017/09/12 17:13 Link
4207 Scalable Machine Learning - Part 1 ~ (tomaugspurger.github.io) 2017/09/12 17:10 Link
4206 TF-IDF is about what matters ~ (planspace.org) 2017/09/12 17:09 Link
4205 The NVIDIA Jetson TK1 with Caffe on MNIST ~ (planspace.org) 2017/09/12 17:09 Link
4204 Command-Line Apps and TensorFlow ~ (planspace.org) 2017/09/12 17:08 Link
4203 TensorFlow APIs for Various Languages ~ (planspace.org) 2017/09/12 17:07 Link
4202 Numerous HigherLevel APIs for TensorFlow in Python ~ (planspace.org) 2017/09/12 17:06 Link
4201 TensorFlow Logging ~ (planspace.org) 2017/09/12 17:05 Link
4200 TFRecords for Humans ~ (planspace.org) 2017/09/12 17:05 Link
4199 The TensorFlow Coordinator for Python Threading ~ (planspace.org) 2017/09/12 17:04 Link
4198 Performing prediction with TensorFlow object detection models on Google Cloud Machine Learning Engine ~ (cloud.google.com) 2017/09/12 17:04 Link
4197 TensorFlow and Queues ~ (planspace.org) 2017/09/12 16:56 Link
4196 TensorFlow as a Distributed Virtual Machine ~ (planspace.org) 2017/09/12 16:56 Link
4195 Protocol Buffers in Python ~ (planspace.org) 2017/09/12 16:55 Link
4194 TFRecords via Protocol Buffer Definitions ~ (planspace.org) 2017/09/12 16:53 Link
4193 Images and TFRecords with Tensorflow ~ (planspace.org) 2017/09/12 16:52 Link
4192 Distributed MapReduce with TensorFlow ~ (planspace.org) 2017/09/12 16:49 Link
4191 Reading from Disk inside the TensorFlow Graph ~ (planspace.org) 2017/09/12 16:48 Link
4190 TensorFlow as Automatic Message-Passing Interface (MPI) ~ (planspace.org) 2017/09/12 16:47 Link
4189 Parsing TFRecords inside the TensorFlow Graph ~ (planspace.org) 2017/09/12 16:43 Link
4188 Sparse Tensors and TFRecords in Tensorflow ~ (planspace.org) 2017/09/12 16:43 Link
4187 Everything in the Tensorflow Graph? Even Glob? ~ (planspace.org) 2017/09/12 16:42 Link
4186 TensorFlow's QueueRunner ~ (planspace.org) 2017/09/12 16:41 Link
4185 Pre-trained Models with Keras in TensorFlow ~ (planspace.org) 2017/09/12 16:39 Link
4184 Simple Regression with a TensorFlow Estimator ~ (planspace.org) 2017/09/12 16:38 Link
4183 Building TensorFlow Systems from Components ~ (planspace.org) 2017/09/12 16:37 Link
4182 Navigating TensorFlow Estimator Documentation ~ (planspace.org) 2017/09/12 16:36 Link
4181 Word Vectors and SAT Analogies ~ (planspace.org) 2017/09/12 16:33 Link
4180 Training RNNs as Fast as CNNs ~ (arxiv.org) 2017/09/12 16:20 Link
4178 Sorting with GPUs: A Survey ~ (arxiv.org) 2017/09/12 16:15 Link
4176 How To Enhance the Contrast of an Image with OpenCV in Python ~ (chrisalbon.com) 2017/09/12 16:04 Link
4175 How to Detect Edges with Canny Filters with OpenCV in Python ~ (chrisalbon.com) 2017/09/12 16:02 Link
4174 How To Crop Images With OpenCV in Python ~ (chrisalbon.com) 2017/09/12 16:01 Link
4173 How To Change a Timezone in a Datetime Pandas Column ~ (chrisalbon.com) 2017/09/12 16:00 Link
4172 How To Break Up Dates And Times Into Multiple Features with Pandas ~ (chrisalbon.com) 2017/09/12 15:57 Link
4171 How to Blur Images with OpenCV in Python ~ (chrisalbon.com) 2017/09/12 15:56 Link
4170 How To Binarize Images with OpenCV in Python ~ (chrisalbon.com) 2017/09/12 15:55 Link
4169 Build your own Machine Learning Visualizations with the new TensorBoard API ~ (research.googleblog.com) 2017/09/12 15:48 Link
4168 Facets - An Open Source Visualization Tool for Machine Learning Training Data ~ (research.googleblog.com) 2017/09/12 15:44 Link
4167 How Not To Program the TensorFlow Graph ~ (planspace.org) 2017/09/12 15:43 Link
4165 VEEGAN - Reducing Mode Collapse in GANs using Implicit Variational Learning ~ (akashgit.github.io) 2017/09/11 11:18 Link
4164 Time Dependent Classification ~ (multithreaded.stitchfix.com) 2017/09/11 11:16 Link
4163 Running Jupyter Notebook on Google Cloud Platform in 15 min ~ (medium.com) 2017/09/11 10:43 Link
4162 How to Diagnose Overfitting and Underfitting of LSTM Models ~ (machinelearningmastery.com) 2017/09/11 10:42 Link
4161 HDFS vs. HBase - All you need to know ~ (www.noahdatatech.com) 2017/09/11 10:41 Link
4160 Data Structure - the Treap (tree + Heap) ~ (jvns.ca) 2017/09/11 10:38 Link
4159 Bag Of Words with Scikit-Learn ~ (chrisalbon.com) 2017/09/11 10:37 Link
4158 A practical explanation of a Naive Bayes classifier ~ (monkeylearn.com) 2017/09/11 10:18 Link
4157 Why One-Hot Encode Data in Machine Learning? ~ (machinelearningmastery.com) 2017/09/11 10:15 Link
4156 Introduction to Word Embeddings - Problems and Theory ~ (www.learndatasci.com) 2017/09/11 10:13 Link
4155 An Introduction to Word Embeddings ~ (www.springboard.com) 2017/09/11 10:11 Link
4154 A Step-by-Step Guide to Synthesizing Adversarial Examples ~ (www.anishathalye.com) 2017/09/11 10:01 Link
4153 Deep Learning in Robotics - A Research Review ~ (arxiv.org) 2017/09/11 10:00 Link
4152 Build and Visualize Word2Vec Model on Amazon Reviews ~ (migsena.com) 2017/09/11 09:37 Link
4151 Build and Install TensorFlow on Intel Architecture ~ (software.intel.com) 2017/09/11 09:26 Link
4150 How to Generate Awesome Graphs in Python ~ (www.dataquest.io) 2017/09/11 09:06 Link
4149 Introduction to Statistics using NumPy ~ (mubaris.com) 2017/09/11 08:52 Link
4148 Deep AutoEncoders for Collaborative Filtering and Recommender Systems ~ (github.com) 2017/09/11 08:49 Link
4115 Python Seaborn Cheat Sheet For Statistical Data Visualization ~ (medium.com) 2017/09/08 15:56 Link
4114 Data Ingestion with Spark and Kafka ~ (www.svds.com) 2017/09/08 09:52 Link
4113 Transitioning from Software Engineering to Artificial Intelligence ~ (blog.insightdatascience.com) 2017/09/08 09:39 Link
4112 Must-read Parth-breaking Papers About Image Classification ~ (blog.paralleldots.com) 2017/09/08 09:38 Link
4111 Partitions in Apache Spark ~ (www.jowanza.com) 2017/09/08 09:37 Link
4110 A Tutorial on Support Vector Machines (SVM) ~ (blog.statsbot.co) 2017/09/08 09:36 Link
4109 Practical Text Classification for Production Systems ~ (www.hardikp.com) 2017/09/08 09:35 Link
4108 How to Configure an Apache Spark Standalone Cluster and Integrate With Jupyter - a Step-by-step Guide ~ (www.davidadrian.cc) 2017/09/08 09:34 Link
4107 Ensemble Learning to Improve Machine Learning Results ~ (blog.statsbot.co) 2017/09/08 09:33 Link
4106 Time series classification with Tensorflow ~ (burakhimmetoglu.com) 2017/09/08 09:33 Link
4105 Normalization in Deep Learning ~ (calculatedcontent.com) 2017/09/08 09:32 Link
4104 Machine Learning with Missing Labels Transductive SVMs ~ (calculatedcontent.com) 2017/09/08 09:31 Link
4103 SVM Kernels - What is an RBF Kernel ? ~ (calculatedcontent.com) 2017/09/08 09:26 Link
4102 How to Put Machine Learning in Production ~ (medium.com) 2017/09/08 09:25 Link
4101 Curated List of Python Packages for Time Series Analysis ~ (github.com) 2017/09/08 09:24 Link
4100 Transfer Learning in TensorFlow using a Pre-trained Inception-Resnet-V2 Model ~ (kwotsin.github.io) 2017/09/08 09:23 Link
4099 Preparing a Large-scale Image Dataset with TensorFlow's TFRecord Files ~ (kwotsin.github.io) 2017/09/08 09:22 Link
4098 Transitioning from Academic Machine Learning to AI in Industry ~ (blog.insightdatascience.com) 2017/09/08 09:17 Link
4097 Understanding Random Forests With Randomforestexplainer ~ (rawgit.com) 2017/09/08 09:14 Link
4096 Picasso - A Free Open-Source Visualizer for CNNs ~ (medium.com) 2017/09/08 09:13 Link
4095 Statistical Bias Types Explained - Part 2 ~ (data36.com) 2017/09/08 09:11 Link
4094 Statistical Bias Types explained - Part 1 ~ (data36.com) 2017/09/08 09:11 Link
4093 Higher-Level APIs in TensorFlow ~ (medium.com) 2017/09/08 09:10 Link
4092 Pseudo-labeling a Simple Semi-supervised Learning Method ~ (datawhatnow.com) 2017/09/08 09:09 Link
4091 Time Series Prediction Using Recurrent Neural Networks (LSTMs) ~ (blog.statsbot.co) 2017/09/08 09:09 Link
4090 Time Series Anomaly Detection Algorithms ~ (blog.statsbot.co) 2017/09/08 09:08 Link
4089 How to Handle Imbalanced Classes in Machine Learning ~ (elitedatascience.com) 2017/09/08 09:07 Link
4088 Best Practices for Feature Engineering ~ (elitedatascience.com) 2017/09/08 09:07 Link
4087 Overfitting in Machine Learning - What It Is and How to Prevent It ~ (elitedatascience.com) 2017/09/08 09:05 Link
4086 How to Visualize Your Recurrent Neural Network with Attention in Keras ~ (medium.com) 2017/09/07 23:14 Link
4085 Deep Learning for Brand Logo Detection - Part 1 ~ (flovv.github.io) 2017/09/07 14:21 Link
4084 Deep Learning for Brand Logo Detection - Part 2 ~ (flovv.github.io) 2017/09/07 14:21 Link
4083 Transfer Learning with Keras in R ~ (flovv.github.io) 2017/09/07 14:20 Link
4082 Practical Guide to SQL Transaction Isolation ~ (begriffs.com) 2017/09/07 14:19 Link
4081 Building a Music Recommender with Deep Learning ~ (mattmurray.net) 2017/09/07 14:18 Link
4080 Machine Learning Best Practices - Put Your Models to Work ~ (blogs.sas.com) 2017/09/07 14:15 Link
4079 Apache Spark Tutorial - Machine Learning with PySpark ~ (medium.com) 2017/09/07 14:12 Link
4078 Using Pandas With Large Data - Tips and Tricks to Reduce Memory Footprint ~ (www.dataquest.io) 2017/09/07 14:12 Link
4077 Tutorial on Visualizing Machine Learning Models ~ (thedataist.com) 2017/09/07 14:11 Link
4076 30 Questions to test a Data Scientist on Deep Learning ~ (www.analyticsvidhya.com) 2017/09/07 14:10 Link
4075 10 Command Line Recipes for Deep Learning on Amazon Web Services ~ (machinelearningmastery.com) 2017/09/07 14:06 Link
4074 Train a Machine to Turn Documents into Keywords, via Document Classification ~ (blog.algorithmia.com) 2017/09/07 14:05 Link
4073 Effective TensorFlow tutorials and best practices. ~ (github.com) 2017/09/07 14:04 Link
4072 CatBoost - A Machine learning library to handle categorical data automatically ~ (www.analyticsvidhya.com) 2017/09/07 14:03 Link
4071 A Concise Overview of the Pytorch Framework and Its Tensor Implementation ~ (drive.google.com) 2017/09/07 14:02 Link
4070 Multivariate Time Series Forecasting with LSTMs in Keras ~ (machinelearningmastery.com) 2017/09/07 14:00 Link
4069 Teaching an AI to play a simple game using Q-learning ~ (www.practicalai.io) 2017/09/07 13:59 Link
4068 How Postgres Makes Transactions Atomic ~ (brandur.org) 2017/09/07 13:58 Link
4067 The Rise of GPU Databases ~ (www.kdnuggets.com) 2017/09/07 13:56 Link
4066 Python Practices for Efficient Code - Performance, Memory, and Usability ~ (www.codementor.io) 2017/09/07 13:54 Link
4065 CNN Long Short-Term Memory Networks (LSTM) ~ (machinelearningmastery.com) 2017/09/07 13:52 Link
4064 Deep Learning with OpenCV ~ (www.pyimagesearch.com) 2017/09/07 13:51 Link
4063 Tutorial on How To Write Better SQL Queries ~ (www.datacamp.com) 2017/09/07 13:48 Link
4062 How to Prepare and Apply Machine Learning to Your Dataset ~ (www.r-exercises.com) 2017/09/07 13:47 Link
4061 How to Make Predictions with Long Short-Term Memory Models in Keras ~ (machinelearningmastery.com) 2017/09/07 13:45 Link
4060 Functions as a Service (OpenFaaS) - a Serverless Framework for Docker and Kubernetes ~ (github.com) 2017/09/07 13:44 Link
4059 KSQL - Open Source Streaming SQL for Apache Kafka ~ (www.confluent.io) 2017/09/07 13:43 Link
4058 Five Sharding Data Models and Which Is Right ~ (www.citusdata.com) 2017/09/07 13:39 Link
4057 Detecting facial features using Deep Learning ~ (medium.com) 2017/09/07 13:38 Link
4056 Install OpenCV 3 and Python on your Raspberry Pi ~ (www.pyimagesearch.com) 2017/09/07 13:28 Link
4055 A large collection of generative models implemented with PyTorch ~ (github.com) 2017/09/07 13:28 Link
4054 Cross-Validation Visualization ~ (medium.com) 2017/09/07 13:23 Link
4053 Machine Learning Best Practices - Understanding Generalization ~ (blogs.sas.com) 2017/09/07 13:12 Link
4052 Lets Build An Image Classifier Using Tensorflow ~ (thecodacus.com) 2017/09/07 09:42 Link
4051 Running a TensorFlow model on iOS and Android ~ (hackernoon.com) 2017/09/07 09:37 Link
4049 Train for your next data science interview with 1000+ real interview questions. ~ (www.thedsinterview.com) 2017/09/07 09:19 Link
4048 The Total Newbie’s Guide to Cassandra ~ (blog.insightdatascience.com) 2017/09/07 09:18 Link
4047 How to win Kaggle competition based on NLP task not being NLP expert ~ (indatalabs.com) 2017/09/07 09:15 Link
4046 Train Your Deep Model Faster and Sharper  - Two Novel Techniques ~ (hackernoon.com) 2017/09/06 21:53 Link
4045 A Keras Package for Biological and Medical Imaging ~ (github.com) 2017/09/06 21:52 Link
4044 Keras Package for Deep Residual Networks ~ (github.com) 2017/09/06 21:52 Link
4043 Handwritten digit recognition with MNIST on iOS with Keras ~ (medium.com) 2017/09/06 21:51 Link
4042 Tutorial on Variational Autoencoder ~ (jaan.io) 2017/09/06 21:51 Link
4041 Data Structures Related to Machine Learning Algorithms ~ (blog.statsbot.co) 2017/09/06 21:50 Link
4040 Saving and Loading a Large Number of Images (data) Into a Single Hdf5 File ~ (machinelearninguru.com) 2017/09/06 21:50 Link
4039 How to configure an Apache Spark standalone cluster and integrate with Jupyter ~ (www.davidadrian.cc) 2017/09/06 21:49 Link
4038 Introduction to GANs and Adversarial Training ~ (www.youtube.com) 2017/09/06 21:48 Link
4037 Generative Adversarial Networks (GAN) - YouTube Live Session ~ (www.youtube.com) 2017/09/06 21:47 Link
4036 Deep Learning Bootcamp Code and Utilities for the Deep Learning School ~ (github.com) 2017/09/06 15:16 Link
4035 Tutorial on Hardware Architectures for Deep Neural Networks ~ (eyeriss.mit.edu) 2017/09/06 14:10 Link
4034 Spotlight - Deep Recommender Models using PyTorch. ~ (github.com) 2017/09/06 14:02 Link
4033 Databases and Distributed Deadlocks ~ (www.citusdata.com) 2017/09/06 13:58 Link
4032 Why favor PostgreSQL over MariaDB / MySQL ~ (www.cybertec.at) 2017/09/05 12:00 Link
4030 Tensorflow Tutorial and Examples for Beginners ~ (github.com) 2017/09/03 21:58 Link
4029 Using Tensorboard with Haskell ~ (hackernoon.com) 2017/09/02 14:46 Link
4028 Keras-Surgeon provides simple methods for modifying trained Keras models. ~ (github.com) 2017/09/01 14:43 Link
4027 Python Cheat Sheet for Data Science - Intermediate Level ~ (www.dataquest.io) 2017/08/31 11:42 Link
4026 Collection of simple examples of various Gaussian Mixture Models ~ (github.com) 2017/08/30 17:13 Link
4025 All the Hipster Things in Neural Net in a Single Repo - Hipster Optimization Algorithms, Hispter Regularizations, Everything! ~ (github.com) 2017/08/30 17:11 Link
4024 Collection of Probabilistic Machine Learning models implemented with Numpy and Python3 ~ (github.com) 2017/08/30 17:09 Link
4023 Gibbs Sampling for Markov Chain Monte Carlo aka. MCMC - Implementation with Numpy ~ (wiseodd.github.io) 2017/08/30 17:08 Link
4022 Metropolis-Hastings Sampling Algorithm for Monte Carlo Methods Implemented with Numpy ~ (wiseodd.github.io) 2017/08/30 17:06 Link
4021 Rejection Sampling in Monte Carlo Methods - Implementation with Numpy ~ (wiseodd.github.io) 2017/08/30 17:05 Link
4020 Slice Sampling for Markov Chain Monte Carlo aka. MCMC - Implementation with Numpy ~ (wiseodd.github.io) 2017/08/30 17:04 Link
4019 Gaussian Anomaly Detection with Numpy ~ (wiseodd.github.io) 2017/08/30 17:03 Link
4018 Paralellizing Monte Carlo Simulation in Python with Numpy ~ (wiseodd.github.io) 2017/08/30 17:02 Link
4017 Implementing Minibatch Gradient Descent for Neural Networks with Numpy ~ (wiseodd.github.io) 2017/08/30 17:01 Link
4016 Beyond Stochastic Gradient Descent aka. SGD - Gradient Descent with Momentum and Adaptive Learning Rate ~ (wiseodd.github.io) 2017/08/30 16:57 Link
4015 Implementing Dropout in a Neural Network with Numpy ~ (wiseodd.github.io) 2017/08/30 16:56 Link
4014 Implementing Batch Normalization aka. BatchNorm in a Neural Network with Numpy ~ (wiseodd.github.io) 2017/08/30 16:54 Link
4013 Implementing Convolution Layer used in CNN with Numpy ~ (wiseodd.github.io) 2017/08/30 16:54 Link
4012 Implementing Maxpool Layer used in CNN with Numpy ~ (wiseodd.github.io) 2017/08/30 16:53 Link
4011 Deriving LSTM Gradient for Backpropagation ~ (wiseodd.github.io) 2017/08/30 16:52 Link
4010 Generative Adversarial Nets in TensorFlow ~ (wiseodd.github.io) 2017/08/30 16:52 Link
4009 Residual Networks aka ResNet ~ (wiseodd.github.io) 2017/08/30 16:51 Link
4008 Many Flavors of Autoencoder ~ (wiseodd.github.io) 2017/08/30 16:47 Link
4007 Deriving Contractive Autoencoder and Implementing it in Keras ~ (wiseodd.github.io) 2017/08/30 16:47 Link
4006 Variational Autoencoder (VAE) - Intuition and Keras Implementation ~ (wiseodd.github.io) 2017/08/30 16:46 Link
4005 Conditional Variational Autoencoder (VAE) - Intuition and Keras Implementation ~ (wiseodd.github.io) 2017/08/30 16:45 Link
4004 Kullback-Leibler Divergence Explained ~ (www.countbayesie.com) 2017/08/30 16:44 Link
4003 KL Divergence - Forward vs Reverse? ~ (wiseodd.github.io) 2017/08/30 16:44 Link
4002 Conditional Generative Adversarial Nets (CGAN) in TensorFlow ~ (wiseodd.github.io) 2017/08/30 16:43 Link
4001 MLE vs MAP - The Connection Between Maximum Likelihood and Maximum A Posteriori Estimation ~ (wiseodd.github.io) 2017/08/30 16:42 Link
4000 Linear Regression - A Bayesian Point of View ~ (wiseodd.github.io) 2017/08/30 16:41 Link
3999 Theano for solving Partial Differential Equation problems ~ (wiseodd.github.io) 2017/08/30 16:41 Link
3998 Generative Adversarial Networks (GAN) in PyTorch ~ (wiseodd.github.io) 2017/08/30 16:40 Link
3997 Variational Autoencoder (VAE) in Pytorch ~ (wiseodd.github.io) 2017/08/30 16:40 Link
3996 Maximizing Likelihood is Equivalent to Minimizing KL-Divergence ~ (wiseodd.github.io) 2017/08/30 16:39 Link
3995 An Alternative Update Rule for Generative Adversarial Networks based on the Kullback–Leibler (KL) Divergence ~ (www.inference.vc) 2017/08/30 16:38 Link
3994 InfoGAN - Unsupervised Conditional GAN in TensorFlow and Pytorch ~ (wiseodd.github.io) 2017/08/30 16:32 Link
3993 Wasserstein GAN Implementation in TensorFlow and Pytorch ~ (wiseodd.github.io) 2017/08/30 16:30 Link
3992 Why Does L2 Reconstruction Loss Yield Blurry Images? ~ (wiseodd.github.io) 2017/08/30 16:29 Link
3991 CoGAN - Learning joint distribution with GAN ~ (wiseodd.github.io) 2017/08/30 16:28 Link
3990 Least Squares GAN (LSGAN) - A Rapid Overview ~ (wiseodd.github.io) 2017/08/30 16:28 Link
3989 Boundary Seeking GAN (BGAN) - A Rapid Overview ~ (wiseodd.github.io) 2017/08/30 16:27 Link
3988 Deriving Normal Equation ~ (wiseodd.github.io) 2017/08/30 16:26 Link
3987 The Most Complete List of Machine Learning and Deep Learning Cheat Sheets ~ (becominghuman.ai) 2017/08/30 16:18 Link
3986 Python Seaborn - Statistical Data Visualization Library - A Tutorial for Beginners ~ (www.datacamp.com) 2017/08/30 16:15 Link
3985 TensorFlow with Jupyter Notebook and Nvidia - a DIY Setup ~ (medium.com) 2017/08/30 16:06 Link
3984 Transfer Learning - Machine Learning's Next Frontier ~ (ruder.io) 2017/08/30 16:03 Link
3983 An Overview of Multi-Task Learning in Deep Neural Networks ~ (ruder.io) 2017/08/30 16:01 Link
3982 Best Practices for NLP with Deep Learning ~ (ruder.io) 2017/08/30 15:55 Link
3981 A large collection of generative models implemented with Tensorflow ~ (github.com) 2017/08/30 15:14 Link
3980 An overview of GANs and their possibilities ~ (medium.com) 2017/08/30 15:13 Link
3979 Tensorflow and Docker = Production ready AI product ~ (medium.com) 2017/08/30 15:08 Link
3978 A Guide to Adversarial Autoencoders - Part 4 - Classify MNIST Using 1000 Labels ~ (medium.com) 2017/08/30 15:06 Link
3977 A Guide to Adversarial Autoencoders - Part 3 - Disentanglement of Style and Content ~ (medium.com) 2017/08/30 15:05 Link
3976 A Guide to Adversarial Autoencoders - Part 2 - Exploring latent space with Adversarial Autoencoders. ~ (medium.com) 2017/08/30 15:04 Link
3975 A Guide to Adversarial Autoencoders - Part 1 - Autoencoder ~ (medium.com) 2017/08/30 15:04 Link
3974 Understanding Attentive Recurrent Comparators ~ (medium.com) 2017/08/30 14:49 Link
3973 Image Data Preparation and Data Augmentation for Deep Learning Model ~ (www.lewisgavin.co.uk) 2017/08/30 14:46 Link
3972 Deploying your Keras model with Flask, Heroku, Docker, Git and Git LFS ~ (medium.com) 2017/08/30 14:43 Link
3971 Fast, optimized "for" pixel loops with OpenCV and Python ~ (www.pyimagesearch.com) 2017/08/30 14:42 Link
3970 A language-agnostic interface to TensorBoard - Crayon ~ (github.com) 2017/08/30 14:40 Link
3969 Log Tensorboard Events Without Tensorflow With Tensorboard_logger ~ (github.com) 2017/08/30 14:39 Link
3968 Adversarially Learned Inference a concurrent approach to BiGAN ~ (ishmaelbelghazi.github.io) 2017/08/30 14:31 Link
3967 Modeling documents with Generative Adversarial Networks ~ (blog.aylien.com) 2017/08/30 14:28 Link
3966 A TensorFlow implementation to learn representations of documents in an unsupervised manner with DocNADE - A neural autoregressive topic model ~ (blog.aylien.com) 2017/08/30 14:28 Link
3965 Learning to Select Data for Transfer Learning ~ (blog.aylien.com) 2017/08/30 14:25 Link
3964 An introduction to Generative Adversarial Networks with code in TensorFlow ~ (blog.aylien.com) 2017/08/30 14:23 Link
3963 A Tensorflow Implementation of Dcgan - Deep Convolutional Generative Adversarial Networks ~ (github.com) 2017/08/30 14:22 Link
3962 Tensorflow Tutorial From Basic to Hard ~ (github.com) 2017/08/30 14:20 Link
3961 A Collection of Generative Models (GAN and VAE) in Pytorch and Tensorflow ~ (github.com) 2017/08/30 14:19 Link
3960 Stability of Generative Adversarial Networks ~ (www.araya.org) 2017/08/30 14:16 Link
3959 Research Review of Generative Adversarial Networks ~ (github.com) 2017/08/30 13:46 Link
3958 Image Completion with Deep Learning in TensorFlow ~ (bamos.github.io) 2017/08/30 13:45 Link
3957 Hacks for Efficiently Training Reinforcement Learning Systems ~ (github.com) 2017/08/30 13:43 Link
3956 A Brief Survey of Deep Reinforcement Learning ~ (arxiv.org) 2017/08/30 13:42 Link
3955 Choosing PyTorch and TensorFlow - A Technical Guide ~ (awni.github.io) 2017/08/30 13:40 Link
3954 Deep Learning With Tensorflow - Part 4 - Face Classification and Video Inputs ~ (medium.com) 2017/08/25 17:19 Link
3953 Deep Learning With Tensorflow - Part 3  - Music and Text Generation ~ (medium.com) 2017/08/25 17:19 Link
3952 Deep Learning With Tensorflow - Part 2 - Image Classification ~ (medium.com) 2017/08/25 17:19 Link
3951 Deep Learning with Tensorflow - Part 1 - Theory and Setup ~ (medium.com) 2017/08/25 17:19 Link
3950 Designing a Deep Learning Project ~ (medium.com) 2017/08/25 17:08 Link
3948 Python dictionary to HDF5 ~ (deepdish.io) 2017/08/21 09:56 Link
3947 The building blocks of Deep Learning ~ (deepdish.io) 2017/08/21 09:55 Link
3946 Initialization of Deep Networks ~ (deepdish.io) 2017/08/21 09:54 Link
3945 Data Mining Tutorial - Part 2 - Introduction to Pandas data structures and essential operations ~ (medium.com) 2017/08/21 09:29 Link
3944 Data Mining Tutorial - Part 1 - Introduction to data mining and tools ~ (medium.com) 2017/08/21 09:28 Link
3943 An end to end implementation of a Machine Learning pipeline ~ (github.com) 2017/08/21 09:27 Link
3942 Neural Network Console - A deep learning tool for training, evaluating, and designing neural networks ~ (dl.sony.com) 2017/08/21 09:08 Link
3941 Generative Adversarial Networks (GANs) - Engine and Applications ~ (blog.statsbot.co) 2017/08/18 16:18 Link
3940 StackingCVClassifier- an Ensemble Learning Meta-classifier for Stacking Using Cross-Validation to Prevent Overfitting ~ (rasbt.github.io) 2017/07/19 06:56 Link
3939 Selecting Forecasting Methods in Data Science ~ (www.datasciencecentral.com) 2017/07/19 06:55 Link
3938 An End to End Implementation of a Machine Learning Pipeline ~ (spandan-madan.github.io) 2017/07/19 06:54 Link
3937 How to build a data science pipeline ~ (medium.com) 2017/07/19 06:54 Link
3936 A Tutorial on the Expectation Maximization (EM) Algorithm ~ (www.kdnuggets.com) 2017/07/19 06:53 Link
3935 CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R ~ (github.com) 2017/07/19 06:51 Link
3934 Deep Learning Tutorial - Part 4 - Why You Need to Start Using Embedding Layers ~ (medium.com) 2017/07/19 06:49 Link
3933 Deep Learning Tutorial - Part 3 - More on CNNs & Handling Overfitting ~ (medium.com) 2017/07/19 06:49 Link
3932 Deep Learning Tutorial - Part 2 - Convolutional Neural Networks ~ (medium.com) 2017/07/19 06:48 Link
3931 Deep Learning Tutorial - Part 1 - Setting up AWS & Image Recognition ~ (medium.com) 2017/07/19 06:47 Link
3930 Applying deep learning to real-world problems ~ (medium.com) 2017/07/14 07:53 Link
3929 SQL Notebook ~ (sqlnotebook.com) 2017/05/09 19:28 Link
3928 A Deep Learning Approach To Multiple Kernel Fusion ~ (arxiv.org) 2017/05/04 14:44 Link
3927 A Noob’s Guide to Implementing RNN-LSTM using Tensorflow ~ (monik.in) 2017/04/24 13:41 Link
3926 Visualize Large Datasets with deck.gl ~ (flowingdata.com) 2017/04/15 01:14 Link
3925 Exploring the Structure of High-Dimensional Data with HyperTools in Kaggle Kernels ~ (blog.kaggle.com) 2017/04/13 16:39 Link
3924 The Difference Between Curve Fitting and Regression ~ (blog.datazar.com) 2017/04/12 12:19 Link
3922 Why Momentum Gradient Descent Really Works ? ~ (distill.pub) 2017/04/05 08:52 Link
3920 Image-to-image Translation in Tensorflow ~ (affinelayer.com) 2017/03/27 09:07 Link
3917 A Visual Introduction to Machine Learning ~ (www.r2d3.us) 2017/03/12 13:55 Link
3916 Deep Learning with Tensorflow - Introduction to Autoencoders ~ (www.youtube.com) 2017/02/23 17:38 Link
3915 MLJAR - Machine Learning Wars ~ (www.youtube.com) 2017/02/23 17:33 Link
3914 SVM with polynomial kernel visualization ~ (www.youtube.com) 2017/02/23 17:28 Link
3913 MIT 6.S094 MooC - Deep Learning for Self-Driving Cars ~ (www.youtube.com) 2017/02/23 17:23 Link
3912 Worldly Bayes - Data Science Search Engine ~ (www.worldlybayes.com) 2017/02/23 17:18 Link
3910 How to Validate Demand for Your Product - Part 2 ~ (www.upupgrow.com) 2017/02/23 17:08 Link
3909 How to Validate Demand for Your Product - Part 1 ~ (www.upupgrow.com) 2017/02/23 17:03 Link
3908 Tensorflow Tutorial - Recurrent Neural Networks (RNN) ~ (www.tensorflow.org) 2017/02/23 16:58 Link
3907 Tensorflow Tutorial - Feed-forward Neural Network for Mnist ~ (www.tensorflow.org) 2017/02/23 16:53 Link
3906 Tensorflow Tutorial - Deep Learning and Convolutional Neural Networks (CNN) ~ (www.tensorflow.org) 2017/02/23 16:48 Link
3905 TensorBoard - Embedding Visualization ~ (www.tensorflow.org) 2017/02/23 16:43 Link
3904 Neural Network Learns to Identify Criminals by Their Faces ~ (www.technologyreview.com) 2017/02/23 16:38 Link
3903 Deep Learning - Building a Cow Detector ~ (www.simplicity.be) 2017/02/23 16:33 Link
3902 Solving Cold-Start Problem in Large-scale Recommendation Engines: A Deep Learning Approach ~ (www.researchgate.net) 2017/02/23 16:28 Link
3901 What are the best visualizations of machine learning algorithms? ~ (www.quora.com) 2017/02/23 16:23 Link
3900 TensorFlow Machine Learning Cookbook ~ (www.packtpub.com) 2017/02/23 16:18 Link
3899 Build a super fast deep learning machine for under $1,000 ~ (www.oreilly.com) 2017/02/23 16:13 Link
3898 Algorithmic trading in less than 100 lines of Python code ~ (www.oreilly.com) 2017/02/23 16:08 Link
3897 Three tips for getting started with NLU ~ (www.oreilly.com) 2017/02/23 16:03 Link
3896 How Yahoos Internal Hadoop Cluster Does Double-Duty on Deep Learning ~ (www.nextplatform.com) 2017/02/23 15:58 Link
3895 Perceptron - the Main Component of Neural Networks ~ (www.neuraldesigner.com) 2017/02/23 15:53 Link
3894 Deep Learning with Python ~ (www.manning.com) 2017/02/23 15:48 Link
3893 Perfecting Lambda Architecture with Oracle Data Integrator, Apache Kafka and MapR Streams) ~ (www.linkedin.com) 2017/02/23 15:43 Link
3892 Apache Hadoop and Pig Query Optimization ~ (www.linkedin.com) 2017/02/23 15:38 Link
3891 Why Deep Learning cannot be Applied to Natural Languages Easily ~ (www.linkedin.com) 2017/02/23 15:33 Link
3890 A Comprehensive Guide to Apache Flink Ecosystem Components ~ (www.linkedin.com) 2017/02/23 15:28 Link
3889 Anomaly Detection for Time Series Data with Deep Learning ~ (www.infoq.com) 2017/02/23 15:23 Link
3887 How should a Data Scientist's resume differ from an Academic CV? ~ (www.datascienceweekly.org) 2017/02/23 15:13 Link
3886 Navigating the Pitfalls of Model Deployment ~ (www.datascience.com) 2017/02/23 15:08 Link
3885 Creating Data Visualizations in Matplotlib ~ (www.datascience.com) 2017/02/23 15:03 Link
3884 Introduction to Natural Language Processing - Part 1 - Lexical Units ~ (www.datascience.com) 2017/02/23 14:58 Link
3883 Introduction to Forecasting with ARIMA in R ~ (www.datascience.com) 2017/02/23 14:53 Link
3882 Introduction to Correlation ~ (www.datascience.com) 2017/02/23 14:48 Link
3881 Introduction to Anomaly Detection ~ (www.datascience.com) 2017/02/23 14:43 Link
3880 Python Excel Tutorial - The Definitive Guide ~ (www.datacamp.com) 2017/02/23 14:38 Link
3879 Free DataCamp for your Classroom ~ (www.datacamp.com) 2017/02/23 14:33 Link
3878 Turning the database inside-out with Apache Samza ~ (www.confluent.io) 2017/02/23 14:28 Link
3877 Intel-Powered Deep Learning Frameworks ~ (www.codeproject.com) 2017/02/23 14:23 Link
3875 Python Cheat Sheet For Data Science ~ (www.codementor.io) 2017/02/23 14:13 Link
3874 A Tutorial Survey of Architectures, Algorithms, and Applications for Deep Learning ~ (www.cambridge.org) 2017/02/23 14:08 Link
3873 40 Questions to test Data Scientist on Clustering Techniques ~ (www.analyticsvidhya.com) 2017/02/23 14:03 Link
3872 6 Deep Learning Applications a beginner can build in minutes with Python ~ (www.analyticsvidhya.com) 2017/02/23 13:58 Link
3871 Ultimate Guide to Understand and Implement Natural Language Processing ~ (www.analyticsvidhya.com) 2017/02/23 13:53 Link
3870 Comprehensive Guide on t-SNE algorithm with implementation in R and Python ~ (www.analyticsvidhya.com) 2017/02/23 13:48 Link
3869 Build a Predictive Model in 10 Minutes with Python ~ (www.analyticsvidhya.com) 2017/02/23 13:42 Link
3868 R and SQL Server articles ~ (tomaztsql.wordpress.com) 2017/02/23 13:37 Link
3867 Getting started with Machine learning on Linux with Python 3 and Scikit-learn ~ (techarena51.com) 2017/02/23 13:32 Link
3866 Performance Trends in AI ~ (srconstantin.wordpress.com) 2017/02/23 13:27 Link
3865 Deep learning - A Comparison of Available Frameworks ~ (smilesikand.tk) 2017/02/23 13:22 Link
3862 Apache Kafka Notes ~ (roelvanderpaal.github.io) 2017/02/23 13:07 Link
3861 Using Machine Learning to Predict Parking Difficulty ~ (research.googleblog.com) 2017/02/23 13:02 Link
3860 TensorFlow Fold - Deep Learning With Dynamic Computation Graphs ~ (research.googleblog.com) 2017/02/23 12:57 Link
3858 Predicting Future Human Behavior with Deep Learning ~ (re-work.co) 2017/02/23 12:47 Link
3857 History of Data Mining ~ (rayli.net) 2017/02/23 12:42 Link
3855 Notes on Representation Learning - Part 3 ~ (opendatascience.com) 2017/02/23 12:32 Link
3854 Notes on Representation Learning - Part 2 ~ (opendatascience.com) 2017/02/23 12:27 Link
3853 Notes on Representation Learning - Part 1 ~ (opendatascience.com) 2017/02/23 12:22 Link
3852 Containers for Data Science ~ (opendatascience.com) 2017/02/23 12:17 Link
3851 Clustering The Beautiful Game - Part 2 ~ (opendatascience.com) 2017/02/23 12:12 Link
3850 Clustering The Beautiful Game - Part 1 ~ (opendatascience.com) 2017/02/23 12:07 Link
3849 Attacking Machine Learning With Adversarial Examples ~ (openai.com) 2017/02/23 12:02 Link
3847 How to Build a Simple Image Recognition System with TensorFlow - Part 2 ~ (medium.freecodecamp.com) 2017/02/23 11:52 Link
3846 Simgans - a Game Changer in Unsupervised Learning ~ (medium.com) 2017/02/23 11:47 Link
3845 Deep Learning Tutorial - How to diagnose skin cancer with the accuracy of a dermatologist ~ (medium.com) 2017/02/23 11:42 Link
3844 Deep Learning with tmux and EC2 ~ (medium.com) 2017/02/23 11:37 Link
3843 Fueling the Gold Rush - The Greatest Public Datasets for AI ~ (medium.com) 2017/02/23 11:32 Link
3842 Easy distributed joins with Pachyderm ~ (medium.com) 2017/02/23 11:27 Link
3841 NanoNets - How to use Deep Learning when you have Limited Data ~ (medium.com) 2017/02/23 11:22 Link
3840 Neural Networks for Decision Boundary in Python ~ (medium.com) 2017/02/23 11:17 Link
3839 Getting Tensorflow, Theano and Keras on Windows ~ (medium.com) 2017/02/23 11:12 Link
3838 Deep Learning Can be Applied to Natural Language Processing ~ (medium.com) 2017/02/23 11:07 Link
3837 The Five Capability Levels of Deep Learning Intelligence ~ (medium.com) 2017/02/23 11:02 Link
3836 Turbo Charge Agile Processes with Deep Learning ~ (medium.com) 2017/02/23 10:57 Link
3835 Unsupervised Investments - Part 1 - A Guide to AI Investors ~ (medium.com) 2017/02/23 10:52 Link
3832 Multi-GPU training of Large, Sparse-Matrix on Wide #NeuralNetwork Autonomous Agents#AI Medium ~ (medium.com) 2017/02/23 10:37 Link
3831 The Gentlest Introduction to Tensorflow - Part 1 ~ (medium.com) 2017/02/23 10:32 Link
3830 The Gentlest Introduction to Tensorflow - Part 2 ~ (medium.com) 2017/02/23 10:27 Link
3829 The Gentlest Introduction to Tensorflow - Part 3 - Matrices and Multi-feature Linear Regression ~ (medium.com) 2017/02/23 10:22 Link
3828 The Gentlest Introduction to Tensorflow - Part 4 - Logistic Regression ~ (medium.com) 2017/02/23 10:17 Link
3827 How to Build a Simple Image Recognition System with TensorFlow - Part 1 ~ (medium.com) 2017/02/23 10:12 Link
3826 Introduction to Gans - Towards a Fundamental Understanding ~ (medium.com) 2017/02/23 10:07 Link
3824 How does Word2Vecs Skip-Gram work? ~ (medium.com) 2017/02/23 09:57 Link
3823 SciPy Cheat Sheet - Linear Algebra in Python ~ (medium.com) 2017/02/23 09:52 Link
3822 Continuous video classification with TensorFlow, Inception and Recurrent Nets ~ (medium.com) 2017/02/23 09:47 Link
3821 Transferring Entropy In Deep Learning Systems ~ (medium.com) 2017/02/23 09:42 Link
3820 GPU-Deep Learning with Docker for noobs - Part 1 ~ (medium.com) 2017/02/23 09:37 Link
3819 Generative Adversarial Networks (GANs) in 50 lines of Python code with PyTorch ~ (medium.com) 2017/02/23 09:32 Link
3818 How to get your first job in Data Science? ~ (medium.com) 2017/02/23 09:27 Link
3817 6 areas of AI and Machine Learning to watch closely ~ (medium.com) 2017/02/23 09:22 Link
3816 The Revolution of Depth in Deep Learning ~ (medium.com) 2017/02/23 09:17 Link
3814 A Step by Step Backpropagation Example ~ (mattmazur.com) 2017/02/23 09:07 Link
3813 Introduction to Time Series Forecasting With Python ~ (machinelearningmastery.com) 2017/02/23 09:02 Link
3812 Cross Border Product Data Flows ~ (liliendahl.com) 2017/02/23 08:57 Link
3811 The Two Cultures of Machine Learning Systems ~ (labs.opendoor.com) 2017/02/23 08:52 Link
3810 Deep Q Learning with Keras and Gym ~ (keon.io) 2017/02/23 08:47 Link
3808 UCDavis Stats 141B Mooc - Data Web and Technologies for Data Analysis ~ (jsharpna.github.io) 2017/02/23 08:37 Link
3807 Some Notes on Gradient Descent ~ (ipvs.informatik.uni-stuttgart.de) 2017/02/23 08:32 Link
3806 Python Deep Learning Frameworks Reviewed ~ (indico.io) 2017/02/23 08:27 Link
3805 Use your eyes and Deep Learning to command your computer ~ (hackernoon.com) 2017/02/23 08:22 Link
3804 Deep Learning Cheat Sheet ~ (hackernoon.com) 2017/02/23 08:17 Link
3803 Autoencoders - Deep Learning bits ~ (hackernoon.com) 2017/02/23 08:12 Link
3802 TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters ~ (github.com) 2017/02/23 08:07 Link
3801 Snake - AI of snake game ~ (github.com) 2017/02/23 08:02 Link
3800 Scikit-Plot - An intuitive library to add plotting functionality to scikit-learn objects. ~ (github.com) 2017/02/23 07:57 Link
3799 Unrolled Generative Adversarial Networks - Demonstration ~ (github.com) 2017/02/23 07:52 Link
3798 Deep Learning - A First Neural Network ~ (github.com) 2017/02/23 07:47 Link
3797 Oxford Deep NLP 2017 MooC Repository ~ (github.com) 2017/02/23 07:42 Link
3796 SHMArrays - Read and write numpy arrays with multiple processes stored as shared memory ~ (github.com) 2017/02/23 07:37 Link
3795 iPyVolume - 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL ~ (github.com) 2017/02/23 07:32 Link
3794 Coursera Machine Learning MooC - Implementation in Python ~ (github.com) 2017/02/23 07:26 Link
3793 Python code and data sets used in the post on neural networks ~ (github.com) 2017/02/23 07:21 Link
3792 Dashboard Connected to any data source. Easily visualize and share your data ~ (github.com) 2017/02/23 07:16 Link
3791 ResNeXt - Implementation of Aggregated Residual Transformations for Deep Neural Networks ~ (github.com) 2017/02/23 07:11 Link
3790 Learning to Learn in TensorFlow - a DeepMind project ~ (github.com) 2017/02/23 07:06 Link
3789 Dask - Dask Is a Flexible Parallel Computing Library for Analytics ~ (github.com) 2017/02/23 07:01 Link
3788 iTermPlot - Python and Matplotlib in your terminal ~ (github.com) 2017/02/23 06:56 Link
3787 Yet another introduction to Neural Networks with MNIST ~ (github.com) 2017/02/23 06:51 Link
3785 A PyTorch implementation of DenseNet. ~ (github.com) 2017/02/23 06:41 Link
3784 Block - An intelligent block matrix library for numpy, Torch, and beyond ~ (github.com) 2017/02/23 06:36 Link
3783 Data Manipulation and Visualization with Pandas and SeabornA Practical Introduction ~ (gist.github.com) 2017/02/23 06:31 Link
3782 How to Spot Visualization Lies ~ (flowingdata.com) 2017/02/23 06:26 Link
3781 One Dataset Visualized in 25 Ways ~ (flowingdata.com) 2017/02/23 06:21 Link
3779 Deep Text-pair Classification With Quora's 2017 Question Dataset ~ (explosion.ai) 2017/02/23 06:11 Link
3778 The Hadoop Ecosystem Explained ~ (examples.javacodegeeks.com) 2017/02/23 06:06 Link
3777 Deep Learning with TensorFlow MooC ~ (edu.techcus.com) 2017/02/23 06:01 Link
3776 12 Types of Artificial Intelligence Problems ~ (dzone.com) 2017/02/23 05:56 Link
3775 The Basics of Deep Learning and How To Apply It To Predict Failures ~ (dzone.com) 2017/02/23 05:51 Link
3774 How to Ingest Email Into Apache Hadoop in Real Time for Analysis ~ (dzone.com) 2017/02/23 05:46 Link
3773 Hw to Use Xgboost (extreme Gradient Boosting) Models in Pipelearner ~ (drsimonj.svbtle.com) 2017/02/23 05:41 Link
3772 DIY Deep Learning for Vision - a Hands-On Tutorial with Caffe ~ (docs.google.com) 2017/02/23 05:36 Link
3771 Lung Cancer Detection using Deep Learning ~ (devpost.com) 2017/02/23 05:31 Link
3770 An Even Easier Introduction to CUDA ~ (devblogs.nvidia.com) 2017/02/23 05:26 Link
3768 Regression Model With Auto Correlated Errors - Part 3 - Some Astrology ~ (datascienceplus.com) 2017/02/23 05:16 Link
3767 Regression Model With Auto Correlated Errors - Part 2 - the Models ~ (datascienceplus.com) 2017/02/23 05:11 Link
3766 Identify, describe, plot, and remove the outliers from the dataset ~ (datascienceplus.com) 2017/02/23 05:06 Link
3765 Regression Model With Auto Correlated Errors - Part 1 - the Data ~ (datascienceplus.com) 2017/02/23 05:01 Link
3764 How the Naive Bayes Classifier works in Machine Learning ~ (dataaspirant.com) 2017/02/23 04:56 Link
3763 Decision Tree Classifier implementation in R ~ (dataaspirant.com) 2017/02/23 04:51 Link
3762 Building Decision Tree Algorithm in Python with scikit learn ~ (dataaspirant.com) 2017/02/23 04:46 Link
3761 Practical Data Dictionary ~ (data36.com) 2017/02/23 04:41 Link
3760 Distillation of Deepnets ~ (conf.startup.ml) 2017/02/23 04:36 Link
3759 Beringei - A high-performance time series storage engine ~ (code.facebook.com) 2017/02/23 04:31 Link
3758 Using Apache Spark for large-scale language model training ~ (code.facebook.com) 2017/02/23 04:26 Link
3757 How to Detect Outliers Using Parametric and Non-parametric Methods - Part 1 ~ (clevertap.com) 2017/02/23 04:21 Link
3756 How to Detect Outliers Using Parametric and Non-Parametric Methods - Part 2 ~ (clevertap.com) 2017/02/23 04:16 Link
3755 Finding the Genre of a Song With Deep Learning ~ (chatbotslife.com) 2017/02/23 04:11 Link
3754 From Math to Machine - Translating a Function to Machine Code ~ (briansteffens.github.io) 2017/02/23 04:06 Link
3753 Spark 2.x External Packages ~ (blog.unnati.xyz) 2017/02/23 04:01 Link
3752 MongoDB and PySpark ~ (blog.unnati.xyz) 2017/02/23 03:56 Link
3751 Writing a cron job microservice with Serverless and AWS Lambda ~ (blog.readme.io) 2017/02/23 03:51 Link
3750 Monitoring and Tuning the Linux Networking Stack - Part 2 - Sending Data ~ (blog.packagecloud.io) 2017/02/23 03:46 Link
3749 Monitoring and Tuning the Linux Networking Stack - Part 1 - Receiving Data ~ (blog.packagecloud.io) 2017/02/23 03:41 Link
3748 New Languages, teams and analyzing data with Excel and CSV files ~ (blog.monkeylearn.com) 2017/02/23 03:36 Link
3747 Anonymization, Word Vectors and O(n) model ~ (blog.insightdatascience.com) 2017/02/23 03:31 Link
3746 Tracking and Visualizing my CPU Usage ~ (blog.datazar.com) 2017/02/23 03:26 Link
3745 Plotting Multiple Columns in D3 ~ (blog.datazar.com) 2017/02/23 03:21 Link
3744 How To Use Deep Learning And Transfer Learning To Tag Images ~ (blog.dataiku.com) 2017/02/23 03:16 Link
3743 Blockchains for Artificial Intelligence ~ (blog.bigchaindb.com) 2017/02/23 03:11 Link
3742 Advanced analytics with Python and Tableau ~ (blog.alookanalytics.com) 2017/02/23 03:06 Link
3741 Unsupervised learning of 3D structure from images ~ (blog.acolyer.org) 2017/02/23 03:01 Link
3740 Readmission Prediction Through Patient Risk Stratification Using Amazon Machine Learning ~ (aws.amazon.com) 2017/02/23 02:56 Link
3739 Machine Learning for Everyone - Part 1 ~ (auth0.com) 2017/02/23 02:51 Link
3738 Machine Learning for Everyone - Part 2 - Spotting anomalous data ~ (auth0.com) 2017/02/23 02:46 Link
3737 Unbiased Online Recurrent Optimization ~ (arxiv.org) 2017/02/23 02:41 Link
3736 Adversarial Attacks on Neural Network Policies ~ (arxiv.org) 2017/02/23 02:36 Link
3735 Comparative Study of CNN and RNN for Natural Language Processing ~ (arxiv.org) 2017/02/23 02:31 Link
3734 3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking ~ (arxiv.org) 2017/02/23 02:26 Link
3733 Understanding deep learning requires rethinking generalization ~ (arxiv.org) 2017/02/23 02:21 Link
3732 Unrolled Generative Adversarial Networks ~ (arxiv.org) 2017/02/23 02:16 Link
3731 Benchmarking State-of-the-Art Deep Learning Software Tools ~ (arxiv.org) 2017/02/23 02:11 Link
3730 Benchmarking State-of-the-Art Deep Learning Software Tools ~ (arxiv.org) 2017/02/23 02:06 Link
3729 Deep Successor Reinforcement Learning ~ (arxiv.org) 2017/02/23 02:01 Link
3728 Theano - A Python framework for fast computation of mathematical expressions ~ (arxiv.org) 2017/02/23 01:56 Link
3727 The Multiverse Loss for Robust Transfer Learning ~ (arxiv.org) 2017/02/23 01:51 Link
3726 Convolutional Neural Networks for Sentence Classification ~ (arxiv.org) 2017/02/23 01:46 Link
3725 Generative Adversarial Networks ~ (arxiv.org) 2017/02/23 01:41 Link
3724 Timestamp Data Visualization by Matplotlib ~ (analyticspages.me) 2017/02/23 01:36 Link
3723 Generating C64 music with RNNs and Tensorflow ~ (affinelayer.com) 2017/02/23 01:31 Link
3722 Interactive Image Translation with pix2pix-tensorflow ~ (affinelayer.com) 2017/02/23 01:26 Link
3721 Deep Learning with Docker - Statically link all your dependencies ~ (affinelayer.com) 2017/02/23 01:21 Link
3720 Hands-On Machine Learning with Scikit-Learn and TensorFlow ~ (advanceddataanalytics.net) 2017/02/23 01:16 Link
3719 Open Sourcing TensorFlowOnSpark - Distributed Deep Learning on Big-Data Clusters ~ (yahoohadoop.tumblr.com) 2017/02/23 01:11 Link
3718 Types of plasticity ~ (www.yger.net) 2017/02/23 01:06 Link
3717 Causality in Machine Learning ~ (www.unofficialgoogledatascience.com) 2017/02/23 01:01 Link
3716 Text mining and word cloud fundamentals in R - 5 simple steps you should know ~ (www.sthda.com) 2017/02/23 00:56 Link
3715 Practical Guide to Cluster Analysis in R Book ~ (www.sthda.com) 2017/02/23 00:51 Link
3714 Clustering Validation Statistics - Unsupervised Machine Learning ~ (www.sthda.com) 2017/02/23 00:46 Link
3713 Joining a billion rows 20x faster than Apache Spark ~ (www.snappydata.io) 2017/02/23 00:41 Link
3712 caffeR - an R wrapper for caffe ~ (www.rblog.uni-freiburg.de) 2017/02/23 00:36 Link
3711 Deep Learning in R ~ (www.rblog.uni-freiburg.de) 2017/02/23 00:31 Link
3710 Seam Carving With Opencv, Python, and Scikit-image ~ (www.pyimagesearch.com) 2017/02/23 00:26 Link
3709 Deep Learning for Computer Vision with Python ~ (www.pyimagesearch.com) 2017/02/23 00:21 Link
3707 Installing Keras with TensorFlow backend ~ (www.pyimagesearch.com) 2017/02/23 00:11 Link
3706 Building Applications with Deep Learning - Expectations vs Reality ~ (www.orbit-x.de) 2017/02/23 00:06 Link
3705 NLP and ML Publications - Looking Back at 2016 ~ (www.marekrei.com) 2017/02/23 00:01 Link
3704 Image Data Prep for Deep Learning Model ~ (www.lewisgavin.co.uk) 2017/02/22 23:56 Link
3703 Face Detection using OpenCV in Python ~ (www.lewisgavin.co.uk) 2017/02/22 23:51 Link
3702 Image Recognition and Object Detection - Part 1 - Traditional Computer Vision Techniques ~ (www.learnopencv.com) 2017/02/22 23:46 Link
3701 K-Means and Other Clustering Algorithms - A Quick Intro with Python ~ (www.learndatasci.com) 2017/02/22 23:41 Link
3700 From Python to Numpy ~ (www.labri.fr) 2017/02/22 23:36 Link
3699 52 Useful Machine Learning and Prediction APIs ~ (www.kdnuggets.com) 2017/02/22 23:31 Link
3698 Great Collection of Minimal and Clean Implementations of Machine Learning Algorithms ~ (www.kdnuggets.com) 2017/02/22 23:26 Link
3697 5 Best Machine Learning APIs for Data Science ~ (www.kdnuggets.com) 2017/02/22 23:20 Link
3696 Preventing Overfitting in Neural Networks ~ (www.kdnuggets.com) 2017/02/22 23:15 Link
3695 Deep Learning for Text Understanding from Scratch ~ (www.kdnuggets.com) 2017/02/22 23:10 Link
3694 The How and Why of Spark and Couchbase ~ (www.jowanza.com) 2017/02/22 23:05 Link
3692 Computer Vision Tutorial with Deep Learning - Slides at NIPS 2015 ~ (www.iro.umontreal.ca) 2017/02/22 22:55 Link
3691 Understanding Supervised Versus Unsupervised Networks ~ (www.infoworld.com) 2017/02/22 22:50 Link
3690 Answers to Dozens of Data Science Job Interview Questions ~ (www.hadoop360.com) 2017/02/22 22:45 Link
3689 Ensembling Against Adversarial Instances ~ (www.erogol.com) 2017/02/22 22:40 Link
3688 Duplicate Question Detection with Deep Learning on Quora Dataset ~ (www.erogol.com) 2017/02/22 22:35 Link
3687 Open source deep learning curriculum ~ (www.deeplearningweekly.com) 2017/02/22 22:30 Link
3686 TensorFlow Quick Tips ~ (www.deeplearningweekly.com) 2017/02/22 22:25 Link
3685 Demystifying Word2Vec ~ (www.deeplearningweekly.com) 2017/02/22 22:20 Link
3684 Design Patterns for Deep Learning Architectures ~ (www.deeplearningpatterns.com) 2017/02/22 22:15 Link
3683 Understanding and Selecting Recommenders ~ (www.datasciencecentral.com) 2017/02/22 22:10 Link
3682 Timestamp Data Visualization by Matplotlib ~ (www.datasciencecentral.com) 2017/02/22 22:05 Link
3681 The Guide to Learning Python for Data Science ~ (www.datasciencecentral.com) 2017/02/22 22:00 Link
3680 Indicator Based Recommender Systems ~ (www.datasciencecentral.com) 2017/02/22 21:55 Link
3679 How NoSQL Fundamentally Changed Machine Learning ~ (www.datasciencecentral.com) 2017/02/22 21:50 Link
3678 Deep Learning and Recommender Systems ~ (www.datasciencecentral.com) 2017/02/22 21:45 Link
3677 Tutorial on Neutralizing Outliers in Any Dimension ~ (www.datasciencecentral.com) 2017/02/22 21:40 Link
3676 A Practical Introduction to Data Science ~ (www.datasciencecentral.com) 2017/02/22 21:35 Link
3675 5 Types of Recommenders ~ (www.datasciencecentral.com) 2017/02/22 21:30 Link
3674 23 types of regression ~ (www.datasciencecentral.com) 2017/02/22 21:25 Link
3673 15 Deep Learning Tutorials ~ (www.datasciencecentral.com) 2017/02/22 21:20 Link
3672 10 Common NLP Terms Explained for the Text Analysis Novice ~ (www.datasciencecentral.com) 2017/02/22 21:15 Link
3671 Deep Learning - Part 3 - Model Evaluation - Slides ~ (www.cs.cmu.edu) 2017/02/22 21:10 Link
3670 Deep Learning - Part 2.2 - UnSupervised Learning and Deep Generative Models - Slides ~ (www.cs.cmu.edu) 2017/02/22 21:05 Link
3669 Deep Learning - Part 2.1 - UnSupervised Learning and Deep Generative Models - Slides ~ (www.cs.cmu.edu) 2017/02/22 21:00 Link
3668 Deep Learning - Part 1 - Supervised Learning - Slides ~ (www.cs.cmu.edu) 2017/02/22 20:55 Link
3667 20+ hottest research papers on Computer Vision and Machine Learning - ICCV 2015 ~ (www.computervisionblog.com) 2017/02/22 20:50 Link
3666 Introduction to Monte Carlo Methods ~ (www.analyticbridge.com) 2017/02/22 20:45 Link
3665 How to Handle Outliers in Regression Problems ~ (www.analyticbridge.com) 2017/02/22 20:40 Link
3664 Correlation and R-Squared for Big Data ~ (www.analyticbridge.com) 2017/02/22 20:35 Link
3663 Factor Analysis Introduction with the Principal Component Method and R ~ (www.aaronschlegel.com) 2017/02/22 20:30 Link
3662 Bayesian Inference via Simulated Annealing ~ (willwolf.io) 2017/02/22 20:25 Link
3661 RescueTime Inference via the Poor Mans Dirichlet ~ (willwolf.io) 2017/02/22 20:20 Link
3660 Stanford MooC CS224n - Natural Language Processing with Deep Learning ~ (web.stanford.edu) 2017/02/22 20:15 Link
3659 How to Tidy Data ~ (vita.had.co.nz) 2017/02/22 20:10 Link
3658 R Programming and Caret Package - Data Science Tutorial ~ (topepo.github.io) 2017/02/22 20:05 Link
3657 Outlier analysis - Chebyschev criteria vs approach based on Mutual Information ~ (textanddatamining.blogspot.fr) 2017/02/22 20:00 Link
3656 A Review of Designing a Data Intensive Applications ~ (tech.marksblogg.com) 2017/02/22 19:55 Link
3655 TensorFlow Image Recognition on a Raspberry Pi ~ (svds.com) 2017/02/22 19:50 Link
3654 TensorFlow Image Recognition on a Raspberry Pi ~ (svds.com) 2017/02/22 19:45 Link
3653 Unfolding RNNs - Part 2 ~ (suriyadeepan.github.io) 2017/02/22 19:40 Link
3652 Unfolding RNNs - Part 1 ~ (suriyadeepan.github.io) 2017/02/22 19:35 Link
3651 Understanding Probabilistic Topic Models By Simulation ~ (stiglerdiet.com) 2017/02/22 19:30 Link
3650 My Python Environment Workflow with Conda ~ (stiglerdiet.com) 2017/02/22 19:25 Link
3649 Expect Deeper and Cheaper Machine Learning ~ (spectrum.ieee.org) 2017/02/22 19:20 Link
3648 Turning Data Into Numbers ~ (simplystatistics.org) 2017/02/22 19:15 Link
3647 What Is Artificial Intelligence? a Three Part Definition ~ (simplystatistics.org) 2017/02/22 19:10 Link
3646 How to map geospatial data - USA rivers ~ (sharpsightlabs.com) 2017/02/22 19:05 Link
3645 How to use data analysis for machine learning - Part 2 ~ (sharpsightlabs.com) 2017/02/22 19:00 Link
3644 How to use data analysis for machine learning - Part 1 - An Example ~ (sharpsightlabs.com) 2017/02/22 18:55 Link
3643 My first attempt with Local Outlier Factor (LOF) - Identifying Density Based Local Outliers ~ (shahramabyari.com) 2017/02/22 18:50 Link
3642 Implementing a Principal Component Analysis (PCA) in Python ~ (sebastianraschka.com) 2017/02/22 18:45 Link
3641 Bayesian Inference - an Interactive Visualization ~ (rpsychologist.com) 2017/02/22 18:40 Link
3640 Berkeley MooC CS 294 - Deep Reinforcement Learning ~ (rll.berkeley.edu) 2017/02/22 18:35 Link
3639 How to train your Deep Neural Network ~ (rishy.github.io) 2017/02/22 18:30 Link
3638 RegExr - Learn, Build, and Test RegEx ~ (regexr.com) 2017/02/22 18:25 Link
3637 SoundNet - Learning Sound Representations from Unlabeled Video ~ (projects.csail.mit.edu) 2017/02/22 18:20 Link
3636 Information Extraction with Stanford NLP ~ (philipperemy.github.io) 2017/02/22 18:15 Link
3635 Guide to Encoding Categorical Values in Python ~ (pbpython.com) 2017/02/22 18:10 Link
3634 ImageNet Classification with Deep Convolutional Neural Networks ~ (papers.nips.cc) 2017/02/22 18:05 Link
3633 How to Load Your Google Analytics Data into Amazon Redshift - A Step by Step Tutorial ~ (panoply.io) 2017/02/22 18:00 Link
3632 Wasserstein Gan - Implementation ~ (nuit-blanche.blogspot.fr) 2017/02/22 17:55 Link
3631 Learning to Learn by Gradient Descent by Gradient Descent - Implementation ~ (nuit-blanche.blogspot.fr) 2017/02/22 17:50 Link
3630 Learning to Invert - Signal Recovery via Deep Convolutional Networks ~ (nuit-blanche.blogspot.fr) 2017/02/22 17:45 Link
3629 Understanding Deep Learning Models in NLP ~ (nlp.yvespeirsman.be) 2017/02/22 17:40 Link
3628 Hyperparameter optimization for Neural Networks ~ (neupy.com) 2017/02/22 17:35 Link
3627 The starmap pattern for parallel data analysis in Python ~ (n-s-f.github.io) 2017/02/22 17:30 Link
3626 Deep Learning With Dynamic Computation Graphs) ~ (muratbuffalo.blogspot.fr) 2017/02/22 17:25 Link
3625 How to Learn Deep Learning? ~ (malaikannan.io) 2017/02/22 17:20 Link
3624 Understand Time Series Forecast Uncertainty Using Confidence Intervals with Python ~ (machinelearningmastery.com) 2017/02/22 17:15 Link
3623 How to Make Manual Predictions for ARIMA Models with Python ~ (machinelearningmastery.com) 2017/02/22 17:10 Link
3622 Autoregression Models for Time Series Forecasting With Python ~ (machinelearningmastery.com) 2017/02/22 17:05 Link
3621 Homogenous Autoencoder UI ~ (koaning.io) 2017/02/22 17:00 Link
3620 Elimination via Inference ~ (koaning.io) 2017/02/22 16:55 Link
3619 Tensorkart - Self-driving Mariokart With Tensorflow ~ (kevinhughes.ca) 2017/02/22 16:50 Link
3617 Bad Data and Good Models => Bad Results ~ (junkcharts.typepad.com) 2017/02/22 16:40 Link
3616 MIT 6.S191 MooC - Introduction to Deep Learning ~ (introtodeeplearning.com) 2017/02/22 16:35 Link
3615 The Top Predictive Analytics Pitfalls to avoid ~ (insights.principa.co.za) 2017/02/22 16:30 Link
3614 Deep Learning for Computer Vision MooC ~ (imatge-upc.github.io) 2017/02/22 16:25 Link
3613 HyperTools - A python toolbox for visualizing and manipulating high-dimensional data ~ (hypertools.readthedocs.io) 2017/02/22 16:20 Link
3611 Deep Learning in Clojure with Cortex ~ (gigasquidsoftware.com) 2017/02/22 16:10 Link
3610 Machine Learning and Cyber Security Resources ~ (fsecurify.com) 2017/02/22 16:05 Link
3609 From Descriptive to Prescriptive Analytics ~ (flovv.github.io) 2017/02/22 16:00 Link
3608 Clustering Similar Stories Using LDA ~ (engineering.flipboard.com) 2017/02/22 15:55 Link
3607 Mechanical Turk Lessons Learned ~ (engineering.curalate.com) 2017/02/22 15:49 Link
3606 Wide and Deep Learning for Recommender Systems ~ (dl.acm.org) 2017/02/22 15:44 Link
3605 A curated collection of deep learning projects ~ (deeplearninggallery.com) 2017/02/22 15:39 Link
3604 Theano Tutorial - Recurrent Neural Networks with Word Embeddings ~ (deeplearning.net) 2017/02/22 15:34 Link
3603 Theano Tutorial - Convolutional Neural Networks - LeNet implementaion ~ (deeplearning.net) 2017/02/22 15:29 Link
3602 Trading Models and Distributed Lags ~ (davegiles.blogspot.fr) 2017/02/22 15:24 Link
3601 How to install Python, SQL, R and Bash (for non-devs) ~ (data36.com) 2017/02/22 15:19 Link
3600 Guide to NumPy ~ (csc.ucdavis.edu) 2017/02/22 15:14 Link
3599 Practical Deep Learning MooC For Coders ~ (course.fast.ai) 2017/02/22 15:09 Link
3598 Neural Networks, Types, and Functional Programming ~ (colah.github.io) 2017/02/22 15:04 Link
3597 Caffe Tutorial - philosophy, architecture and usage ~ (caffe.berkeleyvision.org) 2017/02/22 14:59 Link
3596 Caffe Tutorial - LeNet MNIST ~ (caffe.berkeleyvision.org) 2017/02/22 14:54 Link
3595 Empirically-Based Approach to Understanding the Structure of Data Science ~ (businessoverbroadway.com) 2017/02/22 14:49 Link
3594 Why use SVM? ~ (blog.yhat.com) 2017/02/22 14:44 Link
3592 Deep Learning for ... Chess ~ (blog.yhat.com) 2017/02/22 14:34 Link
3591 How To Get Into Natural Language Processing ~ (blog.ycombinator.com) 2017/02/22 14:29 Link
3590 Temboard Quick Start - PostgreSQL Remote Control ~ (blog.taadeem.net) 2017/02/22 14:24 Link
3589 Food Classification with Deep Learning in Keras and Tensorflow ~ (blog.stratospark.com) 2017/02/22 14:19 Link
3588 A Statistical View of Deep Learning ~ (blog.shakirm.com) 2017/02/22 14:14 Link
3587 Cognitive Machine Learning - Part 1 - Learning to Explain ~ (blog.shakirm.com) 2017/02/22 14:09 Link
3586 Cognitive Machine Learning - Part 0 - Prologue ~ (blog.shakirm.com) 2017/02/22 14:04 Link
3585 RethinkDB versus PostgreSQL ~ (blog.sagemath.com) 2017/02/22 13:59 Link
3584 A Dataset Creation Tutorial with Scraping ~ (blog.kaggle.com) 2017/02/22 13:54 Link
3583 A Kagglers Guide to Model Stacking in Practice ~ (blog.kaggle.com) 2017/02/22 13:49 Link
3582 Practical Tutorial on Random Forest and Parameter Tuning in R ~ (blog.hackerearth.com) 2017/02/22 13:44 Link
3581 The Algorithms Behind Probabilistic Programming ~ (blog.fastforwardlabs.com) 2017/02/22 13:39 Link
3580 Reimagining Language Learning with NLP and Reinforcement Learning ~ (blog.dennybritz.com) 2017/02/22 13:34 Link
3579 Getting the GPU usage of NVIDIA cards with the Linux dstat tool ~ (blog.datumbox.com) 2017/02/22 13:29 Link
3578 Improving the Accuracy of Saliency Detection ~ (blog.algorithmia.com) 2017/02/22 13:24 Link
3577 Introduction to Twitter Topic and Sentiment Analysis ~ (blog.algorithmia.com) 2017/02/22 13:19 Link
3576 Approximate Bayesian Computation Algorithms for Estimating Network Model Parameters ~ (biorxiv.org) 2017/02/22 13:14 Link
3574 Interpreting Bayesian posterior distribution of a parameter - Is density meaningful? ~ (abunchofdata.com) 2017/02/22 13:07 Link
3573 Best Practices for Machine Learning Engineering ~ (101.datascience.community) 2017/02/22 12:53 Link
3561 Machine Learning for Grandmas ~ (www.saagie.com) 2017/01/29 14:57 Link
3560 What Is Hardcore Data Science in Practice? ~ (www.oreilly.com) 2017/01/29 14:52 Link
3559 Building Intelligent Applications With Deep Learning and Tensorflow ~ (www.oreilly.com) 2017/01/29 14:47 Link
3558 3 Methods to Deal With Outliers ~ (www.neuraldesigner.com) 2017/01/29 14:42 Link
3557 XGBoost Rules The World ~ (www.linkedin.com) 2017/01/29 14:37 Link
3556 How To Stay Competitive In An Evolving Machine Learning Landscape ~ (www.linkedin.com) 2017/01/29 14:32 Link
3555 Approaching (Almost) Any Machine Learning Problem ~ (www.linkedin.com) 2017/01/29 14:27 Link
3554 PostgreSQL Parallel indexing in Citus ~ (www.citusdata.com) 2017/01/29 14:22 Link
3553 Guide to Reinforcement Learning and Its Implementation in Python ~ (www.analyticsvidhya.com) 2017/01/29 14:17 Link
3552 Deep Learning of Generic Features for Vision ~ (www.amrita.edu) 2017/01/29 14:12 Link
3551 Lane Following Autopilot with Keras and Tensorflow. ~ (wroscoe.github.io) 2017/01/29 14:07 Link
3550 Scuba - Diving into Data at Facebook ~ (research.fb.com) 2017/01/29 14:02 Link
3549 Neural Networks Are Impressively Good At Compression ~ (probablydance.com) 2017/01/29 13:56 Link
3548 An introduction to recommender systems with Crab ~ (muricoca.github.io) 2017/01/29 13:51 Link
3547 Machine Learning Crash Course - Part 2 ~ (ml.berkeley.edu) 2017/01/29 13:46 Link
3546 Machine Learning Crash Course - Part 1 ~ (ml.berkeley.edu) 2017/01/29 13:41 Link
3545 Cake, Rocket AI, GANs and the Style Transfer Debate ~ (medium.com) 2017/01/29 13:36 Link
3544 Neural Networks without Backpropagation - Direct Feedback Alignment ~ (medium.com) 2017/01/29 13:31 Link
3543 Implementing a Binary Classifier in Python ~ (medium.com) 2017/01/29 13:26 Link
3542 Recommender Systems - the Devil Is in the Details ~ (medium.com) 2017/01/29 00:38 Link
3540 Speeding up Scikit-learn Workflow Using a High-performance Go Proxy ~ (ioloop.io) 2017/01/29 00:28 Link
3539 NumPy Tutorial - Array Computing in Python ~ (hackernoon.com) 2017/01/29 00:23 Link
3538 AQO - Adaptive Query Optimization ~ (github.com) 2017/01/29 00:18 Link
3537 PipelineIO - End-to-End ML and AI Platform for Real-time Spark and Tensorflow Data Pipelines ~ (github.com) 2017/01/28 20:33 Link
3536 Tensorflow-in-a-nutshell: the Repo for the Fast and Easy Guide to the Most Popular Deep Learning Framework in the World. ~ (github.com) 2017/01/28 20:28 Link
3535 Alenka - GPU Database Engine ~ (github.com) 2017/01/28 20:23 Link
3534 Minimizing Discrimination in Machine Learning ~ (flowingdata.com) 2017/01/28 20:18 Link
3533 Interpolate Your Data for Animation in R ~ (flowingdata.com) 2017/01/28 20:13 Link
3532 Your First DIY Hadoop Cluster ~ (datawanderings.com) 2017/01/28 20:08 Link
3531 Predictive Model System - Some Missing Components ~ (commitlogs.com) 2017/01/28 20:03 Link
3530 Learn TensorFlow and Deep Learning without a Ph.D. ~ (cloud.google.com) 2017/01/28 19:58 Link
3529 4 Reasons Your Machine Learning Model is Wrong (and How to Fix It) ~ (boltdata.io) 2017/01/28 19:53 Link
3528 Importing JSON into Hadoop via Kafka ~ (blog.wikimedia.org) 2017/01/28 19:48 Link
3527 Building Powerful Image Classification Models Using Very Little Data ~ (blog.keras.io) 2017/01/28 19:43 Link
3525 Linear Regression Geometry ~ (analyticspages.me) 2017/01/28 19:33 Link
3524 Machine Learning Strategies for Time Series Prediction ~ (www.ulb.ac.be) 2017/01/28 19:28 Link
3523 Back-propagation - Introduction ~ (www.offconvex.org) 2017/01/28 19:23 Link
3522 LSTM Neural Network for Time Series Prediction ~ (www.jakob-aungiers.com) 2017/01/28 19:18 Link
3521 The Internals of PostgreSQL ~ (www.interdb.jp) 2017/01/28 19:13 Link
3520 So you are interested in deep learning ~ (www.fast.ai) 2017/01/28 19:08 Link
3519 Deep Learning for Self-Driving Cars ~ (selfdrivingcars.mit.edu) 2017/01/28 19:03 Link
3518 Data Efficient Deep Learning with G-CNNS ~ (scyfer.nl) 2017/01/28 18:58 Link
3517 Distinguishing Between Statistical Modeling and Machine Learning ~ (pavopax.github.io) 2017/01/28 18:53 Link
3516 Generative Adversarial Networks - Learning in Implicit Generative Models ~ (nuit-blanche.blogspot.fr) 2017/01/28 18:48 Link
3515 Sparse Label Propagation ~ (nuit-blanche.blogspot.fr) 2017/01/28 18:43 Link
3514 22 implementations of #NIPS2016 papers ~ (nuit-blanche.blogspot.fr) 2017/01/28 18:38 Link
3513 Playing with 80 Million Amazon Product Review Ratings Using Apache Spark ~ (minimaxir.com) 2017/01/28 18:33 Link
3512 State of the Art Deep Learning Model for Question Answering ~ (metamind.io) 2017/01/28 18:28 Link
3511 How to Use and Remove Trend Information from Time Series Data in Python ~ (machinelearningmastery.com) 2017/01/28 18:22 Link
3510 How To Backtest Machine Learning Models for Time Series Forecasting ~ (machinelearningmastery.com) 2017/01/28 18:17 Link
3509 Simple Matrix Factorization with TensorFlow ~ (hameddaily.blogspot.fr) 2017/01/28 18:12 Link
3508 Pythonic Linear Regression ~ (francescopochetti.com) 2017/01/28 17:57 Link
3507 Statistics for Hackers ~ (christopherroach.com) 2017/01/28 17:52 Link
3506 Santander Product Recommendation Competition, 2nd Place Winners Solution Write-Up ~ (blog.kaggle.com) 2017/01/28 17:47 Link
3505 Postgresql Anti-patterns - Read, Modify, Write Cycles ~ (blog.2ndquadrant.com) 2017/01/28 17:43 Link
3504 Engineering is the bottleneck in (Deep Learning) Research ~ (blog.dennybritz.com) 2017/01/28 17:42 Link
3501 Deep Learning Research Papers and Applications in Startups, CV, Text Mining, NLP ~ (github.com) 2017/01/12 13:27 Link
3500 Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks ~ (arxiv.org) 2017/01/11 14:36 Link
3499 Deep Learning for Time-Series Analysis ~ (arxiv.org) 2017/01/11 14:34 Link
3498 Neural Networks - the Backpropagation Algorithm in a Picture ~ (www.datasciencecentral.com) 2017/01/11 14:32 Link
3497 Tensorkart - Self-driving Mariokart With Tensorflow ~ (kevinhughes.stfi.re) 2017/01/11 14:30 Link
3496 Best Machine Learning 2016 Papers ~ (www.reddit.com) 2017/01/11 14:29 Link
3495 Adversarial Networks Papers Reading List ~ (github.com) 2017/01/11 14:16 Link
3494 Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling ~ (3dgan.csail.mit.edu) 2017/01/11 14:15 Link
3493 Nteract - Revolutionizing the Notebook Experience ~ (moderndata.plot.ly) 2017/01/11 14:14 Link
3491 What I Learned Implementing a Classifier from Scratch in Python ~ (www.jeannicholashould.com) 2017/01/11 14:04 Link
3490 Learning Machine Learning ~ (www.jeannicholashould.com) 2017/01/11 14:04 Link
3489 An Introduction to Object Oriented Data Science in Python ~ (opendatascience.com) 2017/01/11 14:00 Link
3488 NoSQL and Hadoop - Document-Based versus Relational Databases ~ (upside.tdwi.org) 2017/01/11 11:14 Link
3487 Python For Data Science CheatSheet ~ (www.codementor.io) 2017/01/11 11:12 Link
3486 Deep Learning Research Review - Week 3 - Natural Language Processing ~ (adeshpande3.github.io) 2017/01/11 11:11 Link
3485 Deep Learning in Action ~ (github.com) 2017/01/09 10:13 Link
3484 Your Guide to Master Hypothesis Testing in Statistics ~ (www.analyticsvidhya.com) 2017/01/09 10:04 Link
3483 A Refresher on Statistical Significance ~ (hbr.org) 2017/01/09 09:59 Link
3482 Getting Started with GPU-driven Deep Learning - Part 3 - Style Transfer ~ (medium.com) 2017/01/09 09:54 Link
3481 Getting Started with GPU-driven Deep Learning - Part 2 - Environment Setup ~ (medium.com) 2017/01/09 09:54 Link
3480 Getting Started with GPU-driven Deep Learning - Part 1 - Building a Machine ~ (medium.com) 2017/01/09 09:54 Link
3479 Common Probability Distributions - The Data Scientist’s Cheat Sheet ~ (blog.cloudera.com) 2017/01/09 09:51 Link
3478 Why do Decision Trees Work? ~ (www.win-vector.com) 2017/01/09 09:49 Link
3477 Deep Learning for Natural Language Processing (NLP) - A brief Overview ~ (medium.com) 2017/01/09 09:43 Link
3476 Python Machine Learning - Scikit-Learn Tutorial ~ (www.datacamp.com) 2017/01/09 09:30 Link
3475 On Interpretable Models ~ (codesachin.wordpress.com) 2017/01/09 09:29 Link
3474 Deep Learning and XgBoost - Winning it hands down ! ~ (www.datasciencecentral.com) 2017/01/09 09:14 Link
3473 How six lines of code and SQL Server can bring Deep Learning to any App ~ (blogs.technet.microsoft.com) 2017/01/09 09:06 Link
3472 Materials for a Short Introductory or Intermediate Data Science Course ~ (github.com) 2017/01/09 09:03 Link
3471 XLA - The TensorFlow Compiler Framework ~ (www.tensorflow.org) 2017/01/09 08:57 Link
3470 46 Questions on SQL to Test a Data Science Professional (Skilltest Solution) ~ (www.analyticsvidhya.com) 2017/01/09 08:56 Link
3469 Stanford Deep Learning Tutorial ~ (deeplearning.stanford.edu) 2017/01/09 08:54 Link
3468 Using TensorFlow in Windows with a GPU ~ (www.heatonresearch.com) 2017/01/09 08:50 Link
3467 19 MOOCs on Mathematics and Statistics for Data Science and Machine Learning ~ (www.analyticsvidhya.com) 2017/01/09 08:48 Link
3465 Generative Adversarial Networks - GAN - Explained in Layman Terms ~ (www.datasciencecentral.com) 2016/12/26 13:14 Link
3464 Random Forest as a Regressor - A Spark-based Solution ~ (dzone.com) 2016/12/26 13:12 Link
3463 An Introduction to Python Machine Learning with Perceptrons ~ (www.codementor.io) 2016/12/26 13:10 Link
3462 The Major Advancements in Deep Learning in 2016 ~ (tryolabs.com) 2016/12/26 13:08 Link
3461 The Meta Model and Meta Meta-Model of Deep Learning ~ (medium.com) 2016/12/26 13:07 Link
3460 20 Weird and Wonderful Datasets for Machine Learning ~ (medium.com) 2016/12/26 13:05 Link
3459 Hamiltonian Monte Carlo explained ~ (arogozhnikov.github.io) 2016/12/26 13:01 Link
3458 Scaling out relational data models, and SQL, through co-location ~ (www.citusdata.com) 2016/12/26 12:46 Link
3457 TensorBoard - Embedding Visualization ~ (ahogrammer.com) 2016/12/26 12:45 Link
3456 Deep Learning Enables You to Hide Screen when Your Boss is Approaching ~ (ahogrammer.com) 2016/12/26 12:44 Link
3455 Teaching Deep Convolutional Neural Networks to Play Go ~ (pdfs.semanticscholar.org) 2016/12/26 12:43 Link
3454 Short Text Categorization using Deep Neural Networks and Word-Embedding Models ~ (datawarrior.wordpress.com) 2016/12/26 11:19 Link
3453 Tensor Networks and Density Matrix Renormalization Group ~ (datawarrior.wordpress.com) 2016/12/26 11:18 Link
3452 Python Package for Short Text Mining ~ (datawarrior.wordpress.com) 2016/12/26 11:17 Link
3451 Deep Learning vs Machine Learning vs Pattern Recognition ~ (www.computervisionblog.com) 2016/12/26 11:15 Link
3450 Deep Learning vs Probabilistic Graphical Models vs Logic ~ (declara.com) 2016/12/26 11:13 Link
3449 5 Excel Add Ins Every Data Scientist Should Install ~ (www.datasciencecentral.com) 2016/12/26 11:12 Link
3448 LDA2VEC - When LDA Meets WORD2VEC ~ (www.datasciencecentral.com) 2016/12/26 11:11 Link
3447 Big Data Papers Curated List ~ (usefulstuff.io) 2016/12/26 11:08 Link
3446 Big Data Projects Curated List ~ (usefulstuff.io) 2016/12/26 11:07 Link
3445 How to Build a Search Engine - Part 3 - Indexing Elasticsearch ~ (machinelearningblogs.com) 2016/12/26 11:03 Link
3444 How to Build a Search Engine - Part 2 - Configuring Elasticsearch ~ (machinelearningblogs.com) 2016/12/26 11:02 Link
3443 How to Build a Search Engine - Part 1 - Installing the Tools and Getting the Technology Stack Ready ~ (machinelearningblogs.com) 2016/12/26 11:01 Link
3442 Deep Learning and Context Based Intelligent Search ~ (www.saama.com) 2016/12/26 10:53 Link
3441 GPU Selection Benchmark for Deep Learning Applications ~ (www.nestlogic.com) 2016/12/26 10:52 Link
3440 What Kind of Decision Boundaries Does Deep Learning (deep Belief Net) Draw? Practice With R and {h2o} Package ~ (tjo-en.hatenablog.com) 2016/12/26 10:51 Link
3439 Conditional Variational Autoencoders ~ (ijdykeman.github.io) 2016/12/26 10:50 Link
3438 Tutorial on Variational Autoencoders ~ (arxiv.org) 2016/12/26 10:49 Link
3437 BAyesian Model-Building Interface (BAMBI) in Python. ~ (github.com) 2016/12/26 10:48 Link
3436 Deep Learning Simplified - Autoencoders - Video ~ (www.youtube.com) 2016/12/23 21:59 Link
3435 Installing CPU and GPU TensorFlow on Windows - Video ~ (www.youtube.com) 2016/12/23 21:54 Link
3434 Video on Recurrent or Recursive Neural Networks ~ (www.youtube.com) 2016/12/23 21:49 Link
3433 What is an Autoencoder? - Two Minute Paper Explanation ~ (www.youtube.com) 2016/12/23 21:44 Link
3432 Deep Learning Part II - Data Institute ~ (www.usfca.edu) 2016/12/23 21:39 Link
3431 Deep Learning Part I - The Data Institute ~ (www.usfca.edu) 2016/12/23 21:34 Link
3430 Unsupervised Deep Learning in Python ~ (www.udemy.com) 2016/12/23 21:29 Link
3429 Tutorial - Learn Python in 10 minutes ~ (www.stavros.io) 2016/12/23 21:24 Link
3428 What is hardcore data science in practice? ~ (www.oreilly.com) 2016/12/23 21:19 Link
3427 Scaling Scala ~ (www.oreilly.com) 2016/12/23 21:14 Link
3426 Matrix transformations ~ (www.khanacademy.org) 2016/12/23 21:09 Link
3425 Chain rule introduction - BackPropagation ~ (www.khanacademy.org) 2016/12/23 21:04 Link
3424 Google Web Designer ~ (www.google.com) 2016/12/23 20:59 Link
3423 Cheatsheet - Scikit-Learn & Caret Package for Python & R respectively ~ (www.analyticsvidhya.com) 2016/12/23 20:54 Link
3422 An Intuitive Explanation of Convolutional Neural Networks ~ (ujjwalkarn.me) 2016/12/23 20:49 Link
3421 Machine Learning classifier comparison ~ (plot.ly) 2016/12/23 20:44 Link
3420 IPython Notebook Tutorial ~ (plot.ly) 2016/12/23 20:39 Link
3419 Simple Reinforcement Learning with Tensorflow - Part 7 - Action-Selection Strategies for Exploration ~ (medium.com) 2016/12/23 20:34 Link
3418 Simple Reinforcement Learning with Tensorflow - Part 6 - Partial Observability and Deep Recurrent Q-Networks ~ (medium.com) 2016/12/23 20:29 Link
3417 Simple Reinforcement Learning with Tensorflow - Part 1.5 - Contextual Bandits ~ (medium.com) 2016/12/23 20:24 Link
3416 Simple Reinforcement Learning with Tensorflow - Part 0 - Q-Learning with Tables and Neural Networks ~ (medium.com) 2016/12/23 20:19 Link
3415 Traffic Sign Recognition with TensorFlow ~ (medium.com) 2016/12/23 20:14 Link
3414 You Should Understand Backpropragation ~ (medium.com) 2016/12/23 20:09 Link
3413 Your Personal Sim - Part 4 - Deep Agents (Deep Learning and Natural Intelligence) ~ (medium.com) 2016/12/23 20:04 Link
3412 Your Personal Sim - Part 3 - Inner Space and Mediated Reality ~ (medium.com) 2016/12/23 19:59 Link
3411 Your Personal Sim - Part 2 - Why Agents Matter ~ (medium.com) 2016/12/23 19:54 Link
3410 Your Personal Sim - Part 1 - Your Attention Please ~ (medium.com) 2016/12/23 19:49 Link
3409 NIPS 2016 - cake, Rocket AI, GANs and the style transfer debate ~ (medium.com) 2016/12/23 19:44 Link
3408 Simple Reinforcement Learning with Tensorflow - Part 2 - Policy-based Agents ~ (medium.com) 2016/12/23 19:39 Link
3407 Simple Reinforcement Learning in Tensorflow - Part 1 - Two-armed Bandit ~ (medium.com) 2016/12/23 19:34 Link
3406 Simple Reinforcement Learning with Tensorflow - Part 5 - Visualizing an Agent’s Thoughts and Actions ~ (medium.com) 2016/12/23 19:29 Link
3405 Simple Reinforcement Learning with Tensorflow - Part 4 - Deep Q-Networks and Beyond ~ (medium.com) 2016/12/23 19:24 Link
3404 Simple Reinforcement Learning with Tensorflow - Part 3 - Model-Based RL Medium ~ (medium.com) 2016/12/23 19:19 Link
3401 A Visual and Interactive Guide to the Basics of Neural Networks ~ (jalammar.github.io) 2016/12/23 19:04 Link
3399 CANN - An implementation of multi-perceptron neural network in C++ ~ (github.com) 2016/12/23 18:54 Link
3398 RediSQL - Redis module that provides a completely functional SQL database ~ (github.com) 2016/12/23 18:49 Link
3397 850k Images in 24 hours - Automating Deep Learning Dataset Creation ~ (gab41.lab41.org) 2016/12/23 18:44 Link
3396 Deep Learning in 11 Lines of MATLAB Code ~ (fr.mathworks.com) 2016/12/23 18:39 Link
3394 Introduction to Deep Neural Networks - Deeplearning4j - Open-source, Distributed Deep Learning for the JVM ~ (deeplearning4j.org) 2016/12/23 18:29 Link
3393 Neural Network Architectures ~ (culurciello.github.io) 2016/12/23 18:24 Link
3392 ML0115EN MooC - Deep Learning ~ (courses.bigdatauniversity.com) 2016/12/23 18:19 Link
3391 Implementing really deep neural networks in Tensorflow - ResNets, HighwayNets, and DenseNets ~ (chatbotslife.com) 2016/12/23 18:14 Link
3390 50 things I learned at NIPS 2016 ~ (blog.ought.com) 2016/12/23 18:09 Link
3389 The Definitive Guide to Natural Language Processing ~ (blog.monkeylearn.com) 2016/12/23 18:04 Link
3388 Building Autoencoders in Keras ~ (blog.keras.io) 2016/12/23 17:59 Link
3387 Best practices for interviewing data science candidates ~ (blog.insightdatascience.com) 2016/12/23 17:54 Link
3386 How to Train Your Deep Neural Network with Dictionary Learning ~ (arxiv.org) 2016/12/23 17:49 Link
3385 Expectation Propagation Performs a Smoothed Gradient Descent ~ (arxiv.org) 2016/12/23 17:44 Link
3384 An Analysis of Deep Neural Network Models for Practical Applications ~ (arxiv.org) 2016/12/23 17:39 Link
3383 Stochastic Gradient Descent - SGD - with Python ~ (www.pyimagesearch.com) 2016/12/23 17:34 Link
3382 Gradient Descent With Python ~ (www.pyimagesearch.com) 2016/12/23 17:29 Link
3381 The Best Answers to Your Most Crucial Deep Learning Questions ~ (www.octoparse.com) 2016/12/23 17:24 Link
3380 Integrating Pandas, Django REST Framework and Bokeh ~ (www.machinalis.com) 2016/12/23 17:19 Link
3379 Where to Learn Deep Learning - Courses, Tutorials, Software, MooCs ~ (www.kdnuggets.com) 2016/12/23 17:14 Link
3378 Generative Adversarial Networks - GANs - Slides NIPS 2016 ~ (www.iangoodfellow.com) 2016/12/23 17:09 Link
3377 How to Talk to Your Data Scientist ~ (www.huffingtonpost.com) 2016/12/23 17:04 Link
3376 A Unique Path to Deep Learning Expertise ~ (www.fast.ai) 2016/12/23 16:59 Link
3375 The First Certificate in Deep Learning ~ (www.fast.ai) 2016/12/23 16:54 Link
3374 SaaS Onboarding Metrics for Developers ~ (www.expatsoftware.com) 2016/12/23 16:49 Link
3373 Understanding Deep Learning in 5 Minutes ~ (www.dataminingapps.com) 2016/12/23 16:44 Link
3372 Sparse autoencoder ~ (web.stanford.edu) 2016/12/23 16:39 Link
3371 Python List Comprehensions - Explained Visually ~ (treyhunner.com) 2016/12/23 16:34 Link
3370 Deep Learning at GILT - Cognitive Fashion Industry Challenges ~ (tech.gilt.com) 2016/12/23 16:29 Link
3369 Python for Data Analysis ~ (shop.oreilly.com) 2016/12/23 16:24 Link
3368 We don't understand how AI make most decisions, so now algorithms are explaining themselves ~ (qz.com) 2016/12/23 16:19 Link
3367 Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery ~ (nuit-blanche.blogspot.fr) 2016/12/23 16:14 Link
3366 How To Resample and Interpolate Your Time Series Data With Python ~ (machinelearningmastery.com) 2016/12/23 16:09 Link
3365 Deep Learning Online Courses and MooCs ~ (machinelearningmastery.com) 2016/12/23 16:03 Link
3364 Unsupervised Feature Learning and Deep Learning Tutorial ~ (deeplearning.stanford.edu) 2016/12/23 15:58 Link
3363 Practical Deep Learning For Coders MooC ~ (course.fast.ai) 2016/12/23 15:53 Link
3362 Visualizing Representations - Deep Learning and Human Beings ~ (colah.github.io) 2016/12/23 15:48 Link
3361 Understanding Convolutions ~ (colah.github.io) 2016/12/23 15:43 Link
3360 Dlib - A C++ Library - Easily Create High Quality Object Detectors with Deep Learning ~ (blog.dlib.net) 2016/12/23 15:38 Link
3359 Classifying plankton with deep neural networks - Winning Kaggle Method ~ (benanne.github.io) 2016/12/23 15:33 Link
3358 How can time series information be used to choose a control group? ~ (andrewgelman.com) 2016/12/23 15:28 Link
3357 Deep Face Recognition Using Deep Convolutional Neural Network ~ (aiehive.com) 2016/12/23 15:23 Link
3356 Neural Networks Video Lectures ~ (academictorrents.com) 2016/12/23 14:52 Link
3355 Exploring Strategies for Training Deep Neural Networks ~ (academictorrents.com) 2016/12/23 14:47 Link
3354 Kernel Analysis of Deep Networks ~ (academictorrents.com) 2016/12/23 14:42 Link
3353 Regularization Methods for Machine Learning 2016 ~ (academictorrents.com) 2016/12/23 14:37 Link
3352 Representation Learning - A Review and New Perspectives ~ (academictorrents.com) 2016/12/23 14:32 Link
3351 Generating Faces with Deconvolution Networks ~ (zo7.github.io) 2016/12/23 12:13 Link
3348 Learning to learn and compositionality with deep recurrent neural networks ~ (www.youtube.com) 2016/12/23 11:58 Link
3347 Tensorflow and deep learning without a PhD ~ (www.youtube.com) 2016/12/23 11:53 Link
3346 Deep Learning Frameworks Compared ~ (www.youtube.com) 2016/12/23 11:48 Link
3345 The Extraordinary Link Between Deep Neural Networks and the Nature of the Universe ~ (www.technologyreview.com) 2016/12/23 11:43 Link
3344 Advanced Data Analysis from an Elementary Point of View ~ (www.stat.cmu.edu) 2016/12/23 11:38 Link
3342 How to Become a Data Scientist ~ (www.springboard.com) 2016/12/23 01:22 Link
3341 Data Scientist Job Description ~ (www.springboard.com) 2016/12/23 01:17 Link
3340 Great Summary of Deep Learning ~ (www.reddit.com) 2016/12/23 01:12 Link
3339 Turning keywords into a co-occurrence network ~ (www.r-bloggers.com) 2016/12/23 01:07 Link
3338 Taking a Subset of a Data Frame in R ~ (www.r-bloggers.com) 2016/12/23 01:02 Link
3337 SAS on Bayes ~ (www.r-bloggers.com) 2016/12/23 00:57 Link
3336 One Page R - A Survival Guide to Data Science with R ~ (www.r-bloggers.com) 2016/12/23 00:52 Link
3335 Naive Bayes - A Generative Model and Big Data Classifier ~ (www.r-bloggers.com) 2016/12/23 00:47 Link
3334 k-fold cross validation with modelr and broom ~ (www.r-bloggers.com) 2016/12/23 00:42 Link
3333 Data Visualisation and Shiny app ~ (www.r-bloggers.com) 2016/12/23 00:37 Link
3332 An overview of text mining visualisations possibilities with R on the CETA trade agreement ~ (www.r-bloggers.com) 2016/12/23 00:32 Link
3331 An Attempt to Understand Boosting Algorithm ~ (www.r-bloggers.com) 2016/12/23 00:27 Link
3330 R-Hackathoning – The Finisher's Guide ~ (www.r-bloggers.com) 2016/12/23 00:22 Link
3329 Yann LeCun Quora Session Overview ~ (www.quora.com) 2016/12/23 00:17 Link
3328 How do some developers learn a new programming language in one night? ~ (www.quora.com) 2016/12/22 20:09 Link
3327 A Unified Theory Of Randomness ~ (www.quantamagazine.org) 2016/12/22 20:04 Link
3325 The hard thing about deep learning ~ (www.oreilly.com) 2016/12/22 19:54 Link
3324 Naive Bayes and Spam Detection ~ (www.opendatascience.com) 2016/12/22 19:49 Link
3323 Markov Bot or Twitter Twit? ~ (www.opendatascience.com) 2016/12/22 19:44 Link
3322 Recurrent Neural Networks Tutorial - Part 2 – Implement an RNN with Python Numpy and Theano ~ (www.opendatascience.com) 2016/12/22 19:39 Link
3321 CorrMapper helps to explore, integrate and visualise the data of complex biological studies. ~ (www.medbio.imperial.ac.uk) 2016/12/22 19:34 Link
3320 BI, Analytics, and Big Data: The “A-ha!” Moment (Part 1) ~ (www.mapr.com) 2016/12/22 19:29 Link
3319 Women in Machine Learning and Artificial Intelligence ~ (www.linkedin.com) 2016/12/22 19:24 Link
3318 Online Summarizers overview ~ (www.linkedin.com) 2016/12/22 19:19 Link
3317 Applications of AI in different industries - The list of who's doing what? ~ (www.linkedin.com) 2016/12/22 19:14 Link
3316 Developers' side projects ~ (www.joelonsoftware.com) 2016/12/22 19:09 Link
3315 ETL Is Dead, Long-live Streams ~ (www.infoq.com) 2016/12/22 19:04 Link
3314 Magic Mirror with stylist - Hackster.io ~ (www.hackster.io) 2016/12/22 18:59 Link
3313 Data Science Ethical Framework ~ (www.gov.uk) 2016/12/22 18:54 Link
3312 OAuth vs SAML vs OpenID Connect ~ (www.gluu.org) 2016/12/22 18:49 Link
3309 About - NotebookJS ~ (www.datazar.com) 2016/12/22 18:34 Link
3307 Neural Networks for Machine Learning ~ (www.coursera.org) 2016/12/22 18:24 Link
3306 Introducing Citus 6.0 - A database designed for multi-tenancy ~ (www.citusdata.com) 2016/12/22 18:19 Link
3303 Creating an artificial artist - Color your photos using Neural Networks ~ (www.analyticsvidhya.com) 2016/12/22 18:04 Link
3302 Practicing Guide on handling Structured and Imbalanced Datasets with Deep Learning ~ (www.analyticsvidhya.com) 2016/12/22 17:59 Link
3301 Using Platt Scaling and Isotonic Regression to Minimize LogLoss Error in R ~ (www.analyticsvidhya.com) 2016/12/22 17:54 Link
3300 Going Deeper into Regression Analysis with Assumptions, Plots and Solutions ~ (www.analyticsvidhya.com) 2016/12/22 17:49 Link
3299 How to apply for Analytics and Data Science Masters in US Universities? ~ (www.analyticsvidhya.com) 2016/12/22 17:44 Link
3298 3 Must Know Analytical Concepts For Every Professional ~ (www.analyticsvidhya.com) 2016/12/22 17:39 Link
3297 12 Winning Tips to Clinch Your First Win in Data Science Competitions ~ (www.analyticsvidhya.com) 2016/12/22 17:34 Link
3296 Undergrad Math Tips ~ (web.stanford.edu) 2016/12/22 17:29 Link
3294 A Quick Introduction to Neural Networks ~ (ujjwalkarn.me) 2016/12/22 17:19 Link
3293 The major advancements in Deep Learning in 2016 ~ (tryolabs.com) 2016/12/22 17:14 Link
3288 Trust in Data Science ~ (technology.cloverhealth.com) 2016/12/22 16:49 Link
3286 Machine Learning and Deep Learning for software engineers ~ (speakerdeck.com) 2016/12/22 16:39 Link
3284 Properties of Model Interpretability ~ (shapeofdata.wordpress.com) 2016/12/22 16:29 Link
3283 Goals of Interpretability ~ (shapeofdata.wordpress.com) 2016/12/22 16:24 Link
3282 Interacting with ML Models ~ (shapeofdata.wordpress.com) 2016/12/22 16:19 Link
3281 What is a Proof? ~ (samidavies.wordpress.com) 2016/12/22 16:14 Link
3279 Open sourcing the Embedding Projector - a tool for visualizing high dimensional data ~ (research.googleblog.com) 2016/12/22 16:04 Link
3278 Building an Efficient Neural Language Model Over a Billion Words ~ (research.fb.com) 2016/12/22 15:59 Link
3275 Parabola - Easily import, manipulate, and visualize your data without spreadsheets or code ~ (parabola.io) 2016/12/22 15:44 Link
3274 Requests for Research - Reinforcement Learning ~ (openai.com) 2016/12/22 15:39 Link
3273 Octo.ai - swiss-knife of analytics ~ (octo.ai) 2016/12/22 15:34 Link
3272 Open Source Image Classification Deep Learning Neural Network ~ (n0where.net) 2016/12/22 15:29 Link
3271 Bokeh Cheat Sheet - Python Data Visualization ~ (mystudentvoices.com) 2016/12/22 15:24 Link
3270 Dissecting Reinforcement Learning - Part 1 ~ (mpatacchiola.github.io) 2016/12/22 15:19 Link
3269 Boosting Sales With Machine Learning ~ (medium.com) 2016/12/22 15:14 Link
3268 Pachyderm 1.3 - Pipeline Performance, Embedded Applications, Support for All Docker Images, and more ~ (medium.com) 2016/12/22 15:09 Link
3263 Finding MLB Anomalies with CADE ~ (medium.com) 2016/12/22 14:43 Link
3259 Challenges of Knowledge Graphs - Part 1 ~ (medium.com) 2016/12/22 14:23 Link
3258 5 Tactics to teach a novice about Machine Learning! ~ (medium.com) 2016/12/22 14:18 Link
3257 10 Data Acquisition Strategies for Startups ~ (medium.com) 2016/12/22 14:13 Link
3256 Where are the Opportunities for Machine Learning Startups? ~ (medium.com) 2016/12/22 14:08 Link
3255 Jupyter Notebook Tutorial - The Definitive Guide ~ (medium.com) 2016/12/22 14:03 Link
3254 Jupyter And R Markdown - Notebooks With R ~ (medium.com) 2016/12/22 13:58 Link
3253 40+ Python Statistics For Data Science Resources ~ (medium.com) 2016/12/22 13:53 Link
3250 How Deep Learning Solved the first phase Of The Data Science Game ~ (medium.com) 2016/12/22 13:38 Link
3249 Deep Learning the Stock Market ~ (medium.com) 2016/12/22 13:33 Link
3248 Harvard Course - Data Science ~ (matterhorn.dce.harvard.edu) 2016/12/22 13:28 Link
3247 More Data ≠ Rich ~ (lukasbiewald.com) 2016/12/22 13:23 Link
3246 Why we moved from Amazon Web Services to Google Cloud Platform? ~ (lugassy.net) 2016/12/22 13:18 Link
3245 Secure Certificate Monitoring - LetsMonitor.org ~ (letsmonitor.org) 2016/12/22 13:13 Link
3244 Learning D3 - the most flexible library for creating data visualizations ~ (learningd3.com) 2016/12/22 13:08 Link
3243 Intro to Data Science ~ (learn.adicu.com) 2016/12/22 13:03 Link
3241 How much memory is my process using? ~ (jvns.ca) 2016/12/22 12:53 Link
3240 pg_catalog visualized - PostgreSQL ~ (joelonsql.com) 2016/12/22 12:48 Link
3236 Spark – Web applications with minimum effort ~ (jeanrenesite.wordpress.com) 2016/12/22 12:28 Link
3233 Visualizing with t-SNE ~ (indico.io) 2016/12/22 12:13 Link
3232 TensorFlow Data Input - Part 1 - Placeholders, Protobufs and Queues ~ (indico.io) 2016/12/22 12:08 Link
3231 TensorFlow Data Input - Part 2 - Extensions and Hacks ~ (indico.io) 2016/12/22 12:03 Link
3230 Sequence Modeling With Neural Networks - Part 1 - Language and Seq2Seq ~ (indico.io) 2016/12/22 11:58 Link
3229 Sequence Modeling with Neural Networks - Part 2 - Attention Models ~ (indico.io) 2016/12/22 11:53 Link
3228 Semi-supervised Feature Transfer - The Practical Benefit of Deep Learning Today ~ (indico.io) 2016/12/22 11:48 Link
3227 Regressor Based Image Stylization ~ (indico.io) 2016/12/22 11:43 Link
3226 Using Passage for Text Analysis with Recurrent Neural Networks ~ (indico.io) 2016/12/22 11:38 Link
3225 Make Content Recommendations Better With Machine Learning ~ (indico.io) 2016/12/22 11:33 Link
3224 Introduction to Deep Learning with Python and Theano ~ (indico.io) 2016/12/22 11:28 Link
3223 Getting Started with MXNet ~ (indico.io) 2016/12/22 11:23 Link
3222 General Sequence Learning Using Recurrent Neural Nets ~ (indico.io) 2016/12/22 11:18 Link
3221 A Fast Method to Stream Data from Big Data Sources ~ (indico.io) 2016/12/22 11:13 Link
3220 Deep Learning in Fashion - Part 3 - Clothing Matching Tutorial ~ (indico.io) 2016/12/22 11:08 Link
3219 Exploring Computer Vision - Part 2 - Transfer Learning ~ (indico.io) 2016/12/22 11:03 Link
3218 Exploring Computer Vision - Part 3 - Improving Security Cameras with Machine Learning ~ (indico.io) 2016/12/22 10:58 Link
3217 Exploring Computer Vision - Part 1 - Convolutional Neural Networks ~ (indico.io) 2016/12/22 10:53 Link
3216 Deep Learning in Fashion - Part 1 - Transfer Learning ~ (indico.io) 2016/12/22 10:48 Link
3215 Deep Learning in Fashion - Part 2 - Matching Recommendations ~ (indico.io) 2016/12/22 10:43 Link
3214 Deep Advances in Generative Modeling ~ (indico.io) 2016/12/22 10:38 Link
3213 Data Science Buzzwords Demystified ~ (indico.io) 2016/12/22 10:33 Link
3212 Create a Customized RSS Feed with indico Text Tags, Python, and HTML ~ (indico.io) 2016/12/22 10:28 Link
3211 Please Fix Your Decorators ~ (hynek.me) 2016/12/22 10:23 Link
3210 Heartbeat - Transform REST endpoints into streaming APIs ~ (heartbeat.appbase.io) 2016/12/22 10:18 Link
3209 The Competitive Landscape for Machine Intelligence ~ (hbr.org) 2016/12/22 10:13 Link
3208 The NumPy array - a structure for efficient numerical computation ~ (hal.inria.fr) 2016/12/22 10:08 Link
3207 How to Build Better Products - The Feature Fallacy ~ (hackernoon.com) 2016/12/22 10:03 Link
3206 I Don't Care How Well You Code, Understand Your Compensation ~ (hackernoon.com) 2016/12/22 09:58 Link
3205 4 Productivity Techniques Every Founder Should Know ~ (hackernoon.com) 2016/12/22 09:53 Link
3204 What is Deep Learning? ~ (goparallel.sourceforge.net) 2016/12/22 00:56 Link
3203 SimpleRT: Simple Reverse Tethering for Android ~ (github.com) 2016/12/22 00:51 Link
3200 Tiny-DNN - Header only dependency-free deep learning framework in C++11 ~ (github.com) 2016/12/22 00:36 Link
3198 DeepMath - Experiments towards neural network theorem proving ~ (github.com) 2016/12/22 00:26 Link
3196 Tips and tricks to make GANs work - Generative Adversarial Network ~ (github.com) 2016/12/22 00:16 Link
3193 DL-Docker - An all-in-one Docker image for deep learning - TensorFlow Theano Torch Caffe ~ (github.com) 2016/12/22 00:01 Link
3190 TensorFlow Tutorials - Simple tutorials using Google's TensorFlow Framework ~ (github.com) 2016/12/21 23:46 Link
3188 Deep Learning Tutorial with Keras and Tensorflow ~ (github.com) 2016/12/21 23:36 Link
3187 Fast Style Transfer - Fast Style Transfer in TensorFlow ~ (github.com) 2016/12/21 23:31 Link
3185 Awesome RNN - A curated list of resources dedicated to Recurrent Neural Network ~ (github.com) 2016/12/21 23:21 Link
3184 Fasttext Torch - A fasttext implementation based on Torch ~ (github.com) 2016/12/21 23:16 Link
3183 Kafka-based Job Queue for Python ~ (github.com) 2016/12/21 23:11 Link
3182 Jupyter Notebooks for the Python Data Science Handbook ~ (github.com) 2016/12/21 23:06 Link
3180 Pandas Exercises - Practice your pandas skills! ~ (github.com) 2016/12/21 22:56 Link
3179 Django SQL Explorer - Easily share data across your company via SQL queries ~ (github.com) 2016/12/21 22:51 Link
3177 Rambler - A simple and language-independent SQL schema migration tool ~ (github.com) 2016/12/21 22:41 Link
3176 Flask_JSONDash - Build complex dashboards without any front-end code. ~ (github.com) 2016/12/21 22:36 Link
3175 A deep learning approach to colorizing images ~ (github.com) 2016/12/21 22:31 Link
3174 Speech to Text WaveNet - End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow ~ (github.com) 2016/12/21 22:26 Link
3172 Multi label time series classification with LSTM ~ (github.com) 2016/12/21 22:16 Link
3171 GEM - GUI for Elasticsearch Mappings ~ (github.com) 2016/12/21 22:11 Link
3170 Neural-Enhance - Super Resolution for images using deep learning. ~ (github.com) 2016/12/21 22:06 Link
3169 Connecting Torch to StarCraft ~ (github.com) 2016/12/21 22:01 Link
3168 Chai - An open source neural network library ~ (github.com) 2016/12/21 21:56 Link
3163 HIP - Convert CUDA to Portable C++ Code ~ (github.com) 2016/12/21 21:31 Link
3160 Visualization for Data Driven Storytelling ~ (gab41.lab41.org) 2016/12/21 21:16 Link
3159 TPS Report for Recommender Systems ~ (gab41.lab41.org) 2016/12/21 21:11 Link
3158 Three Things We Learned About Applying Word Vectors to Computer Logs ~ (gab41.lab41.org) 2016/12/21 21:06 Link
3157 Detecting novelty and redundancy with natural language processing ~ (gab41.lab41.org) 2016/12/21 21:01 Link
3156 Nearest Neighbors At Scale ~ (gab41.lab41.org) 2016/12/21 20:56 Link
3155 Stress Test - Open Source Graph Analytics Packages ~ (gab41.lab41.org) 2016/12/21 20:51 Link
3154 Exploring Data Science and Machine Learning Pipelines ~ (gab41.lab41.org) 2016/12/21 20:46 Link
3153 A Tour of Sentiment Analysis Techniques - Getting a Baseline for Sunny Side Up ~ (gab41.lab41.org) 2016/12/21 20:41 Link
3151 FlyElephant - Your Home for High Performance Computing ~ (flyelephant.net) 2016/12/21 20:31 Link
3150 Data Science Tools Survey 2016 ~ (flyelephant.net) 2016/12/21 20:26 Link
3149 Randomness of scientific impact ~ (flowingdata.com) 2016/12/21 20:21 Link
3148 Firedrop - Your personal A.I. web designer ~ (firedrop.ai) 2016/12/21 20:16 Link
3147 Why do CPUs have multiple cache levels? ~ (fgiesen.wordpress.com) 2016/12/21 20:11 Link
3146 Infinite Wireframe Demo 3D WebGL ~ (erkaman.github.io) 2016/12/21 20:06 Link
3145 The Developer Platform Gets Local ~ (engineering.squarespace.com) 2016/12/21 20:01 Link
3144 Decision Forests - Taking Our Machine Learning to the Next Level ~ (engineering.siftscience.com) 2016/12/21 19:56 Link
3143 ML Experiments at Sift Science - Part 1 - Minimizing Bias ~ (engineering.siftscience.com) 2016/12/21 19:51 Link
3142 Large Scale Decision Forests - Lessons Learned ~ (engineering.siftscience.com) 2016/12/21 19:46 Link
3141 MongoDB queries don't always return all matching documents ~ (engineering.meteor.com) 2016/12/21 19:41 Link
3140 SQL Transaction Isolation Levels Explained ~ (elliot.land) 2016/12/21 19:36 Link
3138 Predictive Learning - NIPS 2016 ~ (drive.google.com) 2016/12/21 19:26 Link
3137 Instant Document Tracking and Notifications ~ (docshare.io) 2016/12/21 19:21 Link
3136 How to Rank 10% in Your First Kaggle Competition ~ (dnc1994.com) 2016/12/21 19:16 Link
3135 Image Segmentation Using DIGITS ~ (devblogs.nvidia.com) 2016/12/21 19:11 Link
3134 Exploring the SpaceNet Dataset Using DIGITS ~ (devblogs.nvidia.com) 2016/12/21 19:06 Link
3133 Easy Multi-GPU Deep Learning with DIGITS ~ (devblogs.nvidia.com) 2016/12/21 19:01 Link
3132 DetectNet - Deep Neural Network for Object Detection in DIGITS ~ (devblogs.nvidia.com) 2016/12/21 18:56 Link
3131 Deep Learning for Object Detection with DIGITS ~ (devblogs.nvidia.com) 2016/12/21 18:51 Link
3130 The Most Boring/Valuable Data Science Advice ~ (databozo.posthaven.com) 2016/12/21 18:46 Link
3129 Product Hunt dataset ~ (data.world) 2016/12/21 18:41 Link
3128 TensorFlow Tutorial - Stanford - CS224d ~ (cs224d.stanford.edu) 2016/12/21 18:36 Link
3123 Ultimate Guide to Leveraging NLP and Machine Learning for your Chatbot ~ (chatbotslife.com) 2016/12/21 18:10 Link
3122 A short guide to learn neural networks, and get famous and rich then. ~ (chatbotslife.com) 2016/12/21 18:05 Link
3121 A simple workflow for deep learning ~ (cartesianfaith.com) 2016/12/21 18:00 Link
3119 How We Share Machine Learning, Analytics and Data Science at Microsoft ~ (blogs.technet.microsoft.com) 2016/12/21 17:50 Link
3118 Deep Learning - Part 4 - Content-Based Similar Image Retrieval using CNN ~ (blogs.technet.microsoft.com) 2016/12/21 17:45 Link
3117 Deep Learning Made Easy in Azure ~ (blogs.technet.microsoft.com) 2016/12/21 17:40 Link
3116 Applying Deep Learning at Cloud Scale, with Microsoft R Server and Azure Data Lake ~ (blogs.technet.microsoft.com) 2016/12/21 17:35 Link
3115 Building and Understanding Predictive Maintenance Solutions for the Aerospace Industry ~ (blogs.technet.microsoft.com) 2016/12/21 17:30 Link
3111 NIPS 2016 - Platform wars, Reinforcement Learning and Recurrent Neural Networks ~ (blog.insightdatascience.com) 2016/12/21 17:10 Link
3110 Example ML projects in Data Science, Data Engineering, and Artificial Intelligence ~ (blog.insightdatascience.com) 2016/12/21 17:05 Link
3108 A Huge Debate - R vs. Python for Data Science ~ (blog.dominodatalab.com) 2016/12/21 16:55 Link
3107 Introducing the Data Science Maturity Model ~ (blog.dominodatalab.com) 2016/12/21 16:50 Link
3106 Know Your Probability Distributions ~ (blog.cloudera.com) 2016/12/21 16:45 Link
3103 Do you need Big Data or Smart Data - Part 2 ~ (clevertap.com) 2016/12/21 16:30 Link
3102 Do you need Big Data or Smart Data - Part 1 ~ (clevertap.com) 2016/12/21 16:25 Link
3101 A Brief Primer on Linear Regression – Part 3 ~ (clevertap.com) 2016/12/21 16:20 Link
3100 A Brief Primer on Linear Regression – Part 2 ~ (clevertap.com) 2016/12/21 16:15 Link
3099 A Brief Primer on Linear Regression – Part 1 ~ (clevertap.com) 2016/12/21 16:10 Link
3098 Working with Time-Series Data on Redshift ~ (blog.blendo.co) 2016/12/21 16:05 Link
3097 Analyzing Text and Generating Content with Neural Networks and TensorFlow ~ (blog.altoros.com) 2016/12/21 16:00 Link
3096 Classifying Country Music Songs is an Art — Getting Training ~ (bigishdata.com) 2016/12/21 15:55 Link
3095 Cognitive bias cheat sheet - Because thinking is hard ~ (betterhumans.coach.me) 2016/12/21 15:50 Link
3093 Visualizing Generative Adversarial Networks ~ (bayesianbiologist.com) 2016/12/21 15:40 Link
3092 Generative Adversarial Networks ~ (bayesianbiologist.com) 2016/12/21 15:35 Link
3091 Empowering Developers with AI and Deep Learning ~ (azure.microsoft.com) 2016/12/21 15:30 Link
3090 Build Distributed Applications Using Visual Workflows ~ (aws.amazon.com) 2016/12/21 15:25 Link
3087 Neurogenesis Deep Learning ~ (arxiv.org) 2016/12/21 15:10 Link
3086 Neural Networks Designing Neural Networks - Multi-Objective Hyper-Parameter Optimization ~ (arxiv.org) 2016/12/21 15:05 Link
3085 Neural Symbolic Machines - Learning Semantic Parsers on Freebase with Weak Supervision ~ (arxiv.org) 2016/12/21 15:00 Link
3084 Recurrent 3D Attentional Networks for End-to-End Active Object Recognition in Cluttered Scenes ~ (arxiv.org) 2016/12/21 14:55 Link
3083 Learning to learn by gradient descent by gradient descent ~ (arxiv.org) 2016/12/21 14:50 Link
3082 DenseBox - Unifying Landmark Localization with End to End Object Detection ~ (arxiv.org) 2016/12/21 14:45 Link
3081 Jaro-Winker Distance ~ (advanceddataanalytics.net) 2016/12/21 14:40 Link
3080 Ontology Learning from Text - A Survey of Methods ~ (advanceddataanalytics.net) 2016/12/21 14:35 Link
3079 Data Quality Management with Semantic Technologies ~ (advanceddataanalytics.net) 2016/12/21 14:30 Link
3076 Be careful evaluating model predictions ~ (www.win-vector.com) 2016/12/21 14:20 Link
3075 Beyond One-hot - an Exploration of Categorical Variables ~ (www.willmcginnis.com) 2016/12/21 14:15 Link
3074 How to Find Duplicates in Excel ~ (www.wikihow.com) 2016/12/21 14:10 Link
3073 When Correlation Actually Does Imply Causation ~ (www.vocativ.com) 2016/12/21 14:05 Link
3072 Taste - Movie suggestions based on your taste ~ (www.taste.io) 2016/12/21 14:00 Link
3071 The deconstructed Standard Model equation ~ (www.symmetrymagazine.org) 2016/12/21 13:55 Link
3070 Plotcon 2016 Visualization Talk ~ (www.slideshare.net) 2016/12/21 13:50 Link
3067 A budget of classifier evaluation measures ~ (www.r-bloggers.com) 2016/12/21 13:40 Link
3066 A transformable markup document format ~ (www.r-bloggers.com) 2016/12/21 13:35 Link
3065 How to tune hyperparameters with Python and scikit-learn ~ (www.pyimagesearch.com) 2016/12/21 13:30 Link
3064 LeNet - Convolutional Neural Network in Python ~ (www.pyimagesearch.com) 2016/12/21 13:25 Link
3063 Introduction to MongoDB and Python ~ (www.pybloggers.com) 2016/12/21 13:20 Link
3061 NIPS 2016 Generative Adversarial Training workshop talk ~ (www.nowozin.net) 2016/12/21 13:10 Link
3060 How to make machines learn like humans - Brain-like AI and Machine Learning ~ (www.naiss.io) 2016/12/21 13:05 Link
3059 Ten Ways Your Data Project is Going to Fail ~ (www.martingoodson.com) 2016/12/21 13:00 Link
3058 Analysing NLP publication patterns ~ (www.marekrei.com) 2016/12/21 12:55 Link
3057 Marketing Channel Attribution with Markov Models in R ~ (www.lunametrics.com) 2016/12/21 12:50 Link
3056 Explaining Machine Learning in 500 words ~ (www.lorienpratt.com) 2016/12/21 12:45 Link
3055 Clustering Web Users with Streaming K-Means ~ (www.lewisgavin.co.uk) 2016/12/21 12:40 Link
3054 Decision Trees for Classification ~ (www.lewisgavin.co.uk) 2016/12/21 12:35 Link
3053 Average Face - OpenCV - C++ and Python Tutorial ~ (www.learnopencv.com) 2016/12/21 12:30 Link
3052 Beating Kaggle the easy way - Data Science Competition ~ (www.ke.tu-darmstadt.de) 2016/12/21 12:25 Link
3051 Bayesian Basics Explained ~ (www.kdnuggets.com) 2016/12/21 12:20 Link
3050 Practical Data Science - Building Minimum Viable Models ~ (www.kdnuggets.com) 2016/12/21 12:15 Link
3049 Data Science Basics - An Introduction to Ensemble Learners ~ (www.kdnuggets.com) 2016/12/21 12:10 Link
3048 Decision Tree Classifiers - A Concise Technical Overview ~ (www.kdnuggets.com) 2016/12/21 12:05 Link
3047 An Inside Update on Natural Language Processing ~ (www.kdnuggets.com) 2016/12/21 12:00 Link
3046 Dealing with Unbalanced Classes, SVMs, Random Forests, and Decision Trees in Python ~ (www.kdnuggets.com) 2016/12/21 11:55 Link
3045 Top 10 Data Visualization Projects on Github ~ (www.kdnuggets.com) 2016/12/21 11:50 Link
3044 Top 20 Python Machine Learning Open Source Projects ~ (www.kdnuggets.com) 2016/12/21 11:45 Link
3043 Geospatial Analytics on Hadoop ~ (www.kamilgorlo.com) 2016/12/21 11:40 Link
3042 Data Science, Machine Learning, Artificial Intelligence, Big Data, and IoT Resources ~ (www.innoarchitech.com) 2016/12/21 11:35 Link
3041 Introduction to Python Internals via CPython implementation ~ (www.gahcep.com) 2016/12/21 11:30 Link
3040 How to use Python Decorators ~ (www.erogol.com) 2016/12/21 11:25 Link
3037 Statistical analysis in Google Sheets ~ (www.datasciencecentral.com) 2016/12/21 11:09 Link
3036 40 Techniques Used by Data Scientists ~ (www.datasciencecentral.com) 2016/12/21 11:04 Link
3035 Machine Learning Driving AI ~ (www.datanami.com) 2016/12/21 10:59 Link
3034 The 7 Fundamental Steps to Complete a Data Project ~ (www.dataiku.com) 2016/12/21 10:54 Link
3033 Common Go for Data Science Questions ~ (www.datadan.io) 2016/12/21 10:49 Link
3030 A Regular Expression Matcher ~ (www.cs.princeton.edu) 2016/12/21 10:34 Link
3029 Five mistakes beginners make when working with databases ~ (www.craigkerstiens.com) 2016/12/21 10:32 Link
3028 SAS vs R vs Python: Which Tool Do Analytics Pros Prefer? ~ (www.burtchworks.com) 2016/12/21 10:27 Link
3027 5 Golden Rules to Growth Hacking Reddit for 1k+ Visitors Per DAY ~ (www.blastoffcode.com) 2016/12/21 10:07 Link
3026 Faster Implicit Matrix Factorization ~ (www.benfrederickson.com) 2016/12/21 10:02 Link
3025 Peeking Inside Convolutional Neural Networks ~ (www.auduno.com) 2016/12/21 09:57 Link
3024 Exclusive Python Tutorials and Talks from PyCon 2016 ~ (www.analyticsvidhya.com) 2016/12/21 09:52 Link
3023 12 Free Mind Mapping Tools For a Data Scientist To Enhance Structured Thinking ~ (www.analyticsvidhya.com) 2016/12/21 09:47 Link
3022 Generating World Flags with Sparse Auto-Encoders ~ (willwolf.io) 2016/12/21 09:42 Link
3020 On Uber's Choice of Databases ~ (use-the-index-luke.com) 2016/12/21 09:32 Link
3019 How to Listen When You Disagree - A Lesson from the Republican National Convention ~ (urbanconfessional.org) 2016/12/21 09:27 Link
3018 Demystifying Magic Leap: What Is it and How Does it Work? ~ (uploadvr.com) 2016/12/21 09:22 Link
3017 Machine Learning Trick - Hutchinson's Estimator ~ (upflow.co) 2016/12/21 09:17 Link
3016 Fraud Detection with Deep Learning at Paypal ~ (university.h2o.ai) 2016/12/21 09:12 Link
3015 Marketing Analytics - Retail Case Study Example - Part 1 ~ (ucanalytics.com) 2016/12/21 09:07 Link
3014 Marketing Analytics - Retail Case Study Example - Part 2 ~ (ucanalytics.com) 2016/12/21 09:02 Link
3013 Marketing Analytics - Retail Case Study Example - Part 3 - Exploratory Data Analysis ~ (ucanalytics.com) 2016/12/21 08:57 Link
3012 Marketing Analytics - Retail Case Study Example - Part 4 - Association Analysis ~ (ucanalytics.com) 2016/12/21 08:52 Link
3011 Serverless MapReduce ~ (tothestars.io) 2016/12/21 08:47 Link
3008 Securing PostgreSQL ~ (thebuild.com) 2016/12/21 08:32 Link
3007 TFLearn - Deep learning library featuring a higher-level API for TensorFlow. ~ (tflearn.org) 2016/12/21 08:27 Link
3006 Machine Learning - How to handle a ratio variable in decision tree - CART or RandomForest ~ (stackoverflow.com) 2016/12/21 08:22 Link
3005 MySQL - What is the difference between 'INNER JOIN' and 'OUTER JOIN'? ~ (stackoverflow.com) 2016/12/21 08:17 Link
3004 Deep-Earning, or, Why Attend a Deep-Learning Workshop ~ (silverpond.com.au) 2016/12/21 08:12 Link
3002 Variational Inference for Machine Learning ~ (shakirm.com) 2016/12/21 08:02 Link
3001 The Unreasonable Advantages of Deep Learning ~ (sentimentsymposium.com) 2016/12/21 07:57 Link
3000 A Survey of Cross-lingual Embedding Models ~ (ruder.io) 2016/12/21 07:52 Link
2999 Single-Layer Neural Networks and Gradient Descent ~ (sebastianraschka.com) 2016/12/20 23:01 Link
2998 Building Botnet on ServiceWorkers ~ (sakurity.com) 2016/12/20 22:56 Link
2997 Uber move away from PostgreSQL to MySQL ~ (rhaas.blogspot.com) 2016/12/20 22:51 Link
2996 Student Data Science Programs with RaRe Technologies ~ (rare-technologies.com) 2016/12/20 22:46 Link
2995 Neural Networks for the Prediction of Organic Chemistry Reactions ~ (pubs.acs.org) 2016/12/20 22:41 Link
2993 Scikit-learn trees with D3 ~ (planspace.org) 2016/12/20 22:31 Link
2992 Is There Any Room For The Not-Passionate Developer ? ~ (philippe.bourgau.net) 2016/12/20 22:26 Link
2991 Python Machine Learning Open Source Projects ~ (pansop.com) 2016/12/20 22:21 Link
2990 A Basic Introduction To Neural Networks ~ (pages.cs.wisc.edu) 2016/12/20 22:16 Link
2989 New Directions for Learning with Kernels and Gaussian Processes - Slides ~ (nuit-blanche.blogspot.fr) 2016/12/20 22:11 Link
2988 Efficient Convolutional Auto-Encoding via Random Convexification and Frequency-Domain Minimization ~ (nuit-blanche.blogspot.fr) 2016/12/20 22:06 Link
2987 Understanding Neural Sparse Coding with Matrix Factorization ~ (nuit-blanche.blogspot.fr) 2016/12/20 22:01 Link
2986 Faster Kernel Ridge Regression Using Sketching and Preconditioning - Sharper Bounds for Regression and Low-Rank Approximation with Regularization ~ (nuit-blanche.blogspot.fr) 2016/12/20 21:56 Link
2985 DropNeuron - Simplifying the Structure of Deep Neural Networks - implementation ~ (nuit-blanche.blogspot.fr) 2016/12/20 21:51 Link
2984 Scaled Machine Learning - ScaledML 2016 conference - Slides ~ (nuit-blanche.blogspot.com) 2016/12/20 21:46 Link
2983 Deep Learning Summer School 2016 - Slides ~ (nuit-blanche.blogspot.com) 2016/12/20 21:41 Link
2982 List of IPython Jupyter Notebooks ~ (norvig.com) 2016/12/20 21:36 Link
2981 NLP - Whence your reward function? ~ (nlpers.blogspot.fr) 2016/12/20 21:31 Link
2980 Academic Bio - Create and publish your academic bio website in 5 minutes ~ (my.academic.bio) 2016/12/20 21:26 Link
2979 10 Algorithms data scientist should know about learning ~ (muoro.io) 2016/12/20 21:21 Link
2978 UX Design - How do we capture style preferences during sign-up? ~ (multithreaded.stitchfix.com) 2016/12/20 21:16 Link
2977 Adventures in the land of substrings and RegExps. ~ (mrale.ph) 2016/12/20 21:11 Link
2976 How to Create an Interactive WebGL Network Graph Using R ~ (minimaxir.com) 2016/12/20 21:06 Link
2975 Model-Based Machine Learning ~ (mbmlbook.com) 2016/12/20 21:01 Link
2974 1M rows per second from Postgres to Python ~ (magic.io) 2016/12/20 20:56 Link
2973 What Is Time Series Forecasting? ~ (machinelearningmastery.com) 2016/12/20 20:51 Link
2972 Time Series Forecasting as Supervised Learning ~ (machinelearningmastery.com) 2016/12/20 20:46 Link
2971 7 Time Series Datasets for Machine Learning ~ (machinelearningmastery.com) 2016/12/20 20:41 Link
2970 Text Generation With LSTM Recurrent Neural Networks in Python with Keras ~ (machinelearningmastery.com) 2016/12/20 20:36 Link
2969 10 Standard Datasets for Practicing Applied Machine Learning ~ (machinelearningmastery.com) 2016/12/20 20:31 Link
2968 Save and Load Machine Learning Models in Python with scikit-learn ~ (machinelearningmastery.com) 2016/12/20 20:26 Link
2967 Regression Tutorial with the Keras Deep Learning Library in Python ~ (machinelearningmastery.com) 2016/12/20 20:21 Link
2966 Python is the Growing Platform for Applied Machine Learning ~ (machinelearningmastery.com) 2016/12/20 20:16 Link
2965 How to Normalize and Standardize Time Series Data in Python ~ (machinelearningmastery.com) 2016/12/20 20:11 Link
2964 How to Load and Explore Time Series Data in Python ~ (machinelearningmastery.com) 2016/12/20 20:06 Link
2963 How To Implement Learning Vector Quantization From Scratch With Python ~ (machinelearningmastery.com) 2016/12/20 20:01 Link
2962 How to Implement the Backpropagation Algorithm From Scratch In Python ~ (machinelearningmastery.com) 2016/12/20 19:56 Link
2961 Building a Modern Database Using LLVM ~ (llvm.org) 2016/12/20 19:51 Link
2960 Methodological Aspects on Model Validation - Knowing the Error ~ (livebook.datascienceheroes.com) 2016/12/20 19:46 Link
2959 Advanced Deep Learning - Natural Language Processing ~ (lazyprogrammer.me) 2016/12/20 19:41 Link
2958 Learn Functional Programming by Building in Haskell ~ (lambdaschool.com) 2016/12/20 19:36 Link
2957 Static and dynamic network visualization with R ~ (kateto.net) 2016/12/20 19:31 Link
2956 Visualizing Top Tweeps with t-SNE, in Javascript ~ (karpathy.github.io) 2016/12/20 19:26 Link
2955 Why Kakoune - The quest for a better code editor ~ (kakoune.org) 2016/12/20 19:21 Link
2954 Clean SQL ~ (jonathansacramento.com) 2016/12/20 19:16 Link
2953 Data Trusts ~ (inverseprobability.com) 2016/12/20 19:11 Link
2952 Deep Learning, Pachinko, and James Watt: Efficiency is the Driver of Uncertainty ~ (inverseprobability.com) 2016/12/20 19:06 Link
2951 Preface - Java for Python Programmers ~ (interactivepython.org) 2016/12/20 19:01 Link
2950 Transforming Healthcare - Delivering Cutting-Edge Data Science To Startup and Nonprofit Partners ~ (insighthealthdata.com) 2016/12/20 18:55 Link
2949 Haskell Data Analysis Cookbook ~ (haskelldata.com) 2016/12/20 18:50 Link
2948 gh-ost: GitHub's online schema migration tool for MySQL ~ (githubengineering.com) 2016/12/20 18:45 Link
2947 Limitations of Deep Learning and strategic observations ~ (gettopical.com) 2016/12/20 18:40 Link
2946 What GitHub did to kill its trolls ~ (fusion.net) 2016/12/20 18:35 Link
2945 The AI Revolution - Why Deep Learning Is Suddenly Changing Your Life ~ (fortune.com) 2016/12/20 18:30 Link
2944 Deep learning architecture diagrams ~ (fastml.com) 2016/12/20 18:25 Link
2943 Building a Data-Informed Culture - An Introduction to ~ (engineering.gusto.com) 2016/12/20 18:20 Link
2942 Using Cloud Dataflow to run parallel predictions with your TensorFlow model ~ (enakai00.hatenablog.com) 2016/12/20 18:15 Link
2941 EmbedBox install UI by Eager ~ (embedbox.io) 2016/12/20 18:10 Link
2940 Build your own TensorFlow with NNVM and Torch ~ (dmlc.ml) 2016/12/20 18:05 Link
2939 Experiments in Handwriting with a Neural Network ~ (distill.pub) 2016/12/20 18:00 Link
2938 3 Reasons Counting is the Hardest Thing in Data Science ~ (daynebatten.com) 2016/12/20 17:55 Link
2937 Predictive Policing ~ (dataskeptic.com) 2016/12/20 17:50 Link
2936 Predictive Models on Random ~ (dataskeptic.com) 2016/12/20 17:45 Link
2935 Virtual Desktop Makes Earning Your Data Science Degree Convenient ~ (datasciencedegree.wisconsin.edu) 2016/12/20 17:40 Link
2934 Intel Unveils FPGA to Accelerate Neural Networks ~ (datacenterfrontier.com) 2016/12/20 17:35 Link
2933 Predictive Analytics 101 - the basics explained for non-developers ~ (data36.com) 2016/12/20 17:30 Link
2932 Applying ML to InfoSec ~ (conf.startup.ml) 2016/12/20 17:25 Link
2931 Neural GitHub repo generator ~ (colinmorris.github.io) 2016/12/20 17:20 Link
2930 I Design With Code ~ (codepen.io) 2016/12/20 17:15 Link
2929 Tips for selling your side project ~ (codeandtechno.com) 2016/12/20 17:10 Link
2928 REST Design - Choosing the Right HTTP Method ~ (codeahoy.com) 2016/12/20 17:05 Link
2927 Apply A Function On Every Row Of A Dataframe ~ (chrisalbon.com) 2016/12/20 17:00 Link
2926 Annotating Plots ~ (chrisalbon.com) 2016/12/20 16:55 Link
2924 Aggregate Data By Week Or Month ~ (chrisalbon.com) 2016/12/20 15:10 Link
2923 Adding Levels To A Factor ~ (chrisalbon.com) 2016/12/20 15:05 Link
2922 Adding labels to a ggplot2 bar graph ~ (chrisalbon.com) 2016/12/20 15:00 Link
2921 Adding Time To A Date ~ (chrisalbon.com) 2016/12/20 14:55 Link
2920 2D Density Plot ~ (chrisalbon.com) 2016/12/20 14:50 Link
2919 Two Way Frequency Table ~ (chrisalbon.com) 2016/12/20 14:45 Link
2918 Sort A List Of Strings By Length ~ (chrisalbon.com) 2016/12/20 14:40 Link
2917 Sort A List Of Names By Last Name ~ (chrisalbon.com) 2016/12/20 14:35 Link
2916 Rename Column Headers In Pandas ~ (chrisalbon.com) 2016/12/20 14:30 Link
2915 Looping Over Two Lists ~ (chrisalbon.com) 2016/12/20 14:25 Link
2914 Iterating Over Dictionary Keys ~ (chrisalbon.com) 2016/12/20 14:20 Link
2913 Exiting A Loop ~ (chrisalbon.com) 2016/12/20 14:15 Link
2912 Construct A Dictionary From Multiple Lists ~ (chrisalbon.com) 2016/12/20 14:10 Link
2911 Calculating The Probability An Economy Class Seat Is An Aisle ~ (chrisalbon.com) 2016/12/20 14:05 Link
2910 Basic Mathematical Terms In Python ~ (chrisalbon.com) 2016/12/20 14:00 Link
2909 Basic Mathematical Terms ~ (chrisalbon.com) 2016/12/20 13:55 Link
2908 Saving Machine Learning Models ~ (chrisalbon.com) 2016/12/20 13:50 Link
2907 Random Forest Classifier Example ~ (chrisalbon.com) 2016/12/20 13:45 Link
2906 Preprocessing Iris ~ (chrisalbon.com) 2016/12/20 13:40 Link
2905 Linear Regression In scikit-learn ~ (chrisalbon.com) 2016/12/20 13:35 Link
2904 K-Nearest Neighbors Classification ~ (chrisalbon.com) 2016/12/20 13:30 Link
2903 Cross Validation Pipeline ~ (chrisalbon.com) 2016/12/20 13:25 Link
2902 Cross Validation With Parameter Tuning Using Grid Search ~ (chrisalbon.com) 2016/12/20 13:20 Link
2901 Bessel's Correction - Frequentist Statistics ~ (chrisalbon.com) 2016/12/20 13:15 Link
2899 TensorFlow in a Nutshell - Part 3 - All the Models ~ (camron.xyz) 2016/12/20 13:05 Link
2898 Sales Automation Through a Deep Learning Platform ~ (camron.xyz) 2016/12/20 13:00 Link
2897 TensorFlow in a Nutshell - Part 2 - Hybrid Learning ~ (camron.xyz) 2016/12/20 12:55 Link
2896 TensorFlow in a Nutshell - Part 1 - Basics ~ (camron.xyz) 2016/12/20 12:50 Link
2895 Creating a Search Engine ~ (camron.xyz) 2016/12/20 12:45 Link
2894 Recurrent Neural Networks for Beginners ~ (camron.xyz) 2016/12/20 12:40 Link
2893 Website Performance Testing with Realistic Networking Conditions ~ (calendar.perfplanet.com) 2016/12/20 12:35 Link
2892 Benchmarking Commit Logs ~ (bravenewgeek.com) 2016/12/20 12:30 Link
2890 New Whitepaper Preview - Data Science in Practice ~ (blog.yhat.com) 2016/12/20 12:20 Link
2889 Data Sources for Cool Data Science Projects - Part 6 ~ (blog.thedataincubator.com) 2016/12/20 12:15 Link
2888 Data Sources for Cool Data Science Projects - Part 5 ~ (blog.thedataincubator.com) 2016/12/20 12:10 Link
2887 Data Sources for Cool Data Science Projects - Part 4 ~ (blog.thedataincubator.com) 2016/12/20 12:05 Link
2886 Data Sources for Cool Data Science Projects - Part 3 ~ (blog.thedataincubator.com) 2016/12/20 12:00 Link
2885 Data Sources for Cool Data Science Projects - Part 2 ~ (blog.thedataincubator.com) 2016/12/20 11:55 Link
2884 Data Sources for Cool Data Science Projects - Part 1 ~ (blog.thedataincubator.com) 2016/12/20 11:50 Link
2883 The Hitchhikers Guide to Github - 13 Java Projects You Should Try ~ (blog.takipi.com) 2016/12/20 11:45 Link
2882 More data scientists prefer R - A survey ~ (blog.revolutionanalytics.com) 2016/12/20 11:40 Link
2881 3 Dashboards on Clean Energy ~ (blog.plot.ly) 2016/12/20 11:35 Link
2880 Thinking about Starting Your Own Business? Check GEM First! ~ (blog.nycdatascience.com) 2016/12/20 11:30 Link
2879 Kubernetes - Creating a PostgreSQL Cluster using Helm ~ (blog.kubernetes.io) 2016/12/20 11:25 Link
2878 Seventeen Ways to Map Data in Kaggle Kernels - Tutorials for Python and R Users ~ (blog.kaggle.com) 2016/12/20 11:20 Link
2877 JupyterLab - the next generation of the Jupyter Notebook ~ (blog.jupyter.org) 2016/12/20 11:15 Link
2876 Analyzing Funnels Using Solr and Cassandra ~ (blog.getjaco.com) 2016/12/20 11:10 Link
2874 Learning to Rank Sketchfab Models with LightFM ~ (blog.ethanrosenthal.com) 2016/12/20 11:00 Link
2873 Errata Security: My Raspeberry Pi cluster ~ (blog.erratasec.com) 2016/12/20 10:55 Link
2872 District Data Labs - Python Exception Handling Basics ~ (blog.districtdatalabs.com) 2016/12/20 10:42 Link
2871 NLP Research Lab - Part 2 - Skip-Gram Architecture Overview ~ (blog.districtdatalabs.com) 2016/12/20 10:37 Link
2870 The Simplest Classifier - Histogram Comparison ~ (mpatacchiola.github.io) 2016/12/19 18:15 Link
2869 Predictions for Deep Learning in 2017 ~ (www.kdnuggets.com) 2016/12/19 18:13 Link
2868 NLP Research Lab - Part 1 - Distributed Representations ~ (blog.districtdatalabs.com) 2016/12/18 15:04 Link
2867 How to contribute to an open source project on GitHub ~ (blog.davidecoppola.com) 2016/12/18 14:59 Link
2866 Building a Data Science Portfolio - Storytelling with ~ (blog.cloudera.com) 2016/12/18 14:54 Link
2865 Using NLP and Text Mining to understand how media coverage influenced the US presidential election ~ (blog.aylien.com) 2016/12/18 14:49 Link
2864 News API - Clustering ~ (blog.aylien.com) 2016/12/18 14:44 Link
2863 How to Ship Side Projects ~ (blog.andyjiang.com) 2016/12/18 14:39 Link
2862 Ulterius is an open-source software that provides remote access in the browser. ~ (blog.andrew.im) 2016/12/18 14:34 Link
2861 Docker's dirty little secret ~ (blog.altometrics.com) 2016/12/18 14:29 Link
2860 Improving Nudity Detection and NSFW Image Recognition ~ (blog.algorithmia.com) 2016/12/18 14:24 Link
2859 What is Bitcoin? A Step-By-Step Guide For Beginners ~ (blockgeeks.com) 2016/12/18 14:19 Link
2858 Mathematical Notation Is Awful ~ (blackhole12.blogspot.com) 2016/12/18 14:14 Link
2857 A Perspective on Sentiment Analysis ~ (arxiv.org) 2016/12/18 14:09 Link
2856 Hash Functions all the way down ~ (aras-p.info) 2016/12/18 14:04 Link
2855 Bayesian statistics - What's it all about? ~ (andrewgelman.com) 2016/12/18 13:58 Link
2854 How to think about the p-value from a randomized test? ~ (andrewgelman.com) 2016/12/18 13:53 Link
2853 Some modeling and computational ideas to look into ~ (andrewgelman.com) 2016/12/18 13:48 Link
2852 Attribution model with R - Part 1 - Markov chains concept ~ (analyzecore.com) 2016/12/18 13:43 Link
2851 Cohort analysis - Retention Rate Visualization with R ~ (analyzecore.com) 2016/12/18 13:38 Link
2850 Measuring business health with Delta LifeCycle Grids and R ~ (analyzecore.com) 2016/12/18 13:33 Link
2849 Sales Funnel visualization with R ~ (analyzecore.com) 2016/12/18 13:28 Link
2848 Cohort Analysis with Heatmap ~ (analyzecore.com) 2016/12/18 13:23 Link
2847 Cohort Analysis and LifeCycle Grids mixed segmentation with R ~ (analyzecore.com) 2016/12/18 13:18 Link
2846 Customer segmentation - LifeCycle Grids, CLV and CAC with R ~ (analyzecore.com) 2016/12/18 13:13 Link
2845 Customer segmentation - LifeCycle Grids with R ~ (analyzecore.com) 2016/12/18 13:08 Link
2844 Sequence of shopping carts in-depth analysis with R – Sequence of events ~ (analyzecore.com) 2016/12/18 13:03 Link
2843 Sequence of shopping carts in-depth analysis with R - Clustering ~ (analyzecore.com) 2016/12/18 12:58 Link
2842 Sequence of shopping carts in-depth analysis with R ~ (analyzecore.com) 2016/12/18 12:53 Link
2841 Sequence of shopping carts analysis with R - Sankey diagram ~ (analyzecore.com) 2016/12/18 12:48 Link
2840 Shopping cart analysis with R - Multi-layer pie chart ~ (analyzecore.com) 2016/12/18 12:43 Link
2839 Cohort analysis with R - Retention charts ~ (analyzecore.com) 2016/12/18 12:38 Link
2838 Cohort analysis with R - Layer-cake graph - Part 2 ~ (analyzecore.com) 2016/12/18 12:33 Link
2837 Cohort analysis with R - Layer-cake graph - Part 1 ~ (analyzecore.com) 2016/12/18 12:28 Link
2836 Twitter sentiment analysis based on affective lexicons with R ~ (analyzecore.com) 2016/12/18 12:23 Link
2835 Twitter sentiment analysis with R ~ (analyzecore.com) 2016/12/18 12:18 Link
2834 What is a distribution? ~ (allendowney.blogspot.fr) 2016/12/18 12:13 Link
2833 Probability is hard - Part 1 ~ (allendowney.blogspot.fr) 2016/12/18 12:08 Link
2832 Probability is hard - Part 2 ~ (allendowney.blogspot.fr) 2016/12/18 12:03 Link
2831 Probability is hard - Part 3 ~ (allendowney.blogspot.fr) 2016/12/18 11:58 Link
2830 Normal and Negative Binomial Distributions ~ (allendowney.blogspot.fr) 2016/12/18 11:53 Link
2829 Getting Tensorflow to work with GPU NVidia GTX 1080 on Ubuntu 16.04 LTS ~ (abhay.harpale.net) 2016/12/18 11:48 Link
2828 Deep Learning - What, Why and Applications ~ (aiehive.com) 2016/12/18 11:47 Link
2827 Graph Convolutional Networks ~ (tkipf.github.io) 2016/12/16 11:32 Link
2824 Data Science Basics - What Types of Patterns Can Be Mined From Data? ~ (www.kdnuggets.com) 2016/12/14 17:16 Link
2823 What You Are Too Afraid to Ask About Artificial Intelligence - Part 2 - Neuroscience ~ (chatbotslife.com) 2016/12/14 17:15 Link
2822 Guide to Model Stacking or Meta Ensembling ~ (gormanalysis.com) 2016/12/14 17:14 Link
2817 Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications ~ (manikvarma.github.io) 2016/12/13 09:05 Link
2816 Amazon Rekognition – Image Detection and Recognition Powered by Deep Learning ~ (aws.amazon.com) 2016/12/13 09:04 Link
2815 What You Are Too Afraid to Ask About Artificial Intelligence - Part 1 - Machine Learning ~ (chatbotslife.com) 2016/12/13 09:00 Link
2814 Using Keras' Pretrained Neural Networks for Visual Similarity Recommendations ~ (blog.ethanrosenthal.com) 2016/12/13 08:58 Link
2813 The Best Metric to Measure Accuracy of Classification Models ~ (clevertap.com) 2016/12/13 08:36 Link
2812 PostGraphQL - PostgreSQL meets GraphQL ~ (www.compose.com) 2016/12/13 08:32 Link
2811 How Citus Enables Scalable PostgreSQL on AWS ~ (www.youtube.com) 2016/12/12 22:34 Link
2803 Linear Regression in the Wild ~ (anotherdatum.com) 2016/12/12 22:12 Link
2802 Why Deep Learning Matters and What’s Next for Artificial Intelligence ~ (blog.algorithmia.com) 2016/12/12 22:12 Link
2801 Getting Started with Neural Style Transfer from the Command Line ~ (blog.algorithmia.com) 2016/12/12 22:11 Link
2800 An Open Source AWS AMI for Training Style Transfer Models ~ (blog.algorithmia.com) 2016/12/12 22:11 Link
2799 Build Your Own Sentiment Analysis Tool in 10 Minutes With Aylien Google Sheets Add-on & Ifttt ~ (blog.aylien.com) 2016/12/12 22:09 Link
2798 SelfAI - A Method for Understanding Beauty in Selfies ~ (www.erogol.com) 2016/12/12 22:07 Link
2797 Classifying Amazon Reviews with Scikit-Learn - More Data is Better Turns Out ~ (bigishdata.com) 2016/12/12 22:06 Link
2796 Practical Naive Bayes - Classification of Amazon Reviews ~ (bigishdata.com) 2016/12/12 22:06 Link
2795 How to Use Data Science and Machine Learning to Revolutionize 360° Customer Views - Part 2 ~ (www.mapr.com) 2016/12/12 22:05 Link
2794 How to Use Data Science and Machine Learning to Revolutionize 360° Customer Views - Part 1 ~ (www.mapr.com) 2016/12/12 22:04 Link
2793 Kafka Connect and Kafka REST API on MapR: Streaming Just Became a Whole Lot Easier! ~ (www.mapr.com) 2016/12/12 22:03 Link
2792 SQL for Data Analysts ~ (canyon289.github.io) 2016/12/12 22:00 Link
2791 23 Visualizations and When to Use Them ~ (blog.dominodatalab.com) 2016/12/12 22:00 Link
2790 How to Use Django & PostgreSQL for Full Text Search ~ (gearheart.io) 2016/12/12 21:59 Link
2789 Customer segmentation using Advanced Analytics ~ (www.neuraldesigner.com) 2016/12/12 21:58 Link
2788 Resources for deep learning ~ (chatbotslife.com) 2016/12/12 21:56 Link
2787 Deep Learning - Expectations & Opportunities ~ (a-misra.com) 2016/12/12 21:55 Link
2786 Deep Learning with DSSTNE ~ (a-misra.com) 2016/12/12 21:55 Link
2785 Deep Learning with Multiple GPUs on Rescale: Torch ~ (blog.rescale.com) 2016/12/12 21:53 Link
2784 Deep Learning in Python - Getting Started ~ (www.analyticbridge.com) 2016/12/12 21:53 Link
2783 Nuts and Bolts of Applying Deep Learning - Andrew Ng ~ (www.youtube.com) 2016/12/12 21:50 Link
2782 Hierarchical Object Detection with Deep Reinforcement Learning ~ (imatge-upc.github.io) 2016/12/12 21:48 Link
2781 The Data You Need For Deep Learning ~ (deeplearning4j.org) 2016/12/12 21:45 Link
2780 A Beginner’s Guide to Recurrent Networks and LSTMs ~ (deeplearning4j.org) 2016/12/12 21:44 Link
2779 Machine Learning Theory - Part 3 - Regularization and the Bias-variance Trade-off ~ (mostafa-samir.github.io) 2016/12/12 21:43 Link
2778 Machine Learning Theory - Part 2 - Generalization Bounds ~ (mostafa-samir.github.io) 2016/12/12 21:42 Link
2777 Machine Learning Theory - Part 1 - Introduction ~ (mostafa-samir.github.io) 2016/12/12 21:41 Link
2776 Search Serving and Ranking at Pinterest ~ (engineering.pinterest.com) 2016/12/12 21:40 Link
2775 Automation Scenarios - Another Step Towards A Successful Model Deployment ~ (www.dataiku.com) 2016/12/12 21:38 Link
2774 5 Unexpected Sources of Bias in Artificial Intelligence ~ (techcrunch.com) 2016/12/12 21:38 Link
2773 Artificial Neural Networks - ANN - Part 2 - Introduction ~ (algobeans.com) 2016/12/12 21:37 Link
2772 The Case for Index-free Data Manipulation ~ (www.win-vector.com) 2016/12/12 21:33 Link
2771 Plotting GeoJSON Data on a Map with R ~ (randomjohn.github.io) 2016/12/12 21:31 Link
2770 Introduction to K-means Clustering ~ (www.datascience.com) 2016/12/12 21:29 Link
2769 Real-time Event Aggregation at Scale Using Postgres With Citus ~ (www.citusdata.com) 2016/12/12 21:26 Link
2768 Data Science and Big Data - Definition and Common Myths ~ (medium.com) 2016/12/12 21:25 Link
2767 Most Popular Kaggle Competition Solutions ~ (dataaspirant.com) 2016/12/12 14:59 Link
2766 14 Most Popular August 2016 Data Science Articles to Read ~ (dataaspirant.com) 2016/12/12 14:59 Link
2765 Classification and Clustering Algorithms ~ (dataaspirant.com) 2016/12/12 14:58 Link
2764 Pandas Tutorial - Data analysis with Python - Part 2 ~ (www.dataquest.io) 2016/12/12 14:57 Link
2763 Pandas Tutorial - Data analysis with Python - Part 1 ~ (www.dataquest.io) 2016/12/12 14:57 Link
2762 Exploring Bureau of Labor Statistics Time Series ~ (blog.districtdatalabs.com)