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WildML

• Learning Reinforcement Learning (with Code, Exercises and Solutions)

Nuit Blanche

• Nuit Blanche in Review (September 2016)

alexhwoods

• Dijkstra’s Algorithm in Python

Simply Statistics

• papr - it's like tinder, but for academic preprints

R-bloggers

• Proofing statistics in papers
• Network Analysis Part 2 Exercises
• approximate lasso

Statistical Modeling, Causal Inference, and Social Science

• Astroturf “patient advocacy” group pushes to keep drug prices high

Win-Vector Blog

• Proofing statistics in papers

Trivium

• 02oct2016

Julia Evans

• A list of Linux container software
• "I just want to run a container!"

Dataiku - Articles

• Webinar 18 | Leverage Spark MLLib and H2O for Distributed Machine Learning with Dataiku DSS

Sebastian Raschka's Website

• Model evaluation, model selection, and algorithm selection in machine learning

Will do stuff for stuff

• How to keep your Twitter timeline clean
• Data Links #71

Machine Learning Mastery

• How Beginners Get It Wrong In Machine Learning