Math explained and visualized

Here I will collect links to well-written articles about math and algorithms. Visual Information Theory. Nice post about probabilities, entropy. The whole blog has awesome visualizations. Highly recommended. MNIST For ML Beginners - Nice introduction into machine learning with TensorFlow Brilliantly wrong - blog by Alex Rogozhnikov, with fantastic visualizations of many algorithms and concepts Collection of data science notebooks. Deconvolution and Checkerboard Artifacts by Odena, et al., 2016 - explanation of deconvolution operation in neural networks with awesome interactive visualizations...

May 20, 2017 · SergeM

Machine learning links

Super harsh guide to machine Learning Super harsh guide to machine learning (reddit) First, read fucking Hastie, Tibshirani, and whoever. Chapters 1-4 and 7. If you don’t understand it, keep reading it until you do. You can read the rest of the book if you want. You probably should, but I’ll assume you know all of it. Take Andrew Ng’s Coursera. Do all the exercises in Matlab and python and R....

January 19, 2017 · SergeM

Books

In progress Test-Driven Development with Python Harry Percival link Pycon 2016 workshop Python Testing Python Software Development and Software Testing (posts and podcast) book Part Effective C++: 55 Specific Ways to Improve Your Programs and Designs Scott Meyers Done Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets Nassim Nicholas Taleb Learning Spark....

November 29, 2013 · SergeM