Category: statistics / machine learning / data analysis Nov 30 2020 An attempt at implementing char-rnn with PyTorch Dec 29 2018 Some nonparametric statistics math Apr 17 2017 Some good "Statistics for programmers" resources Feb 12 2017 How do these "neural network style transfer" tools work? May 19 2016 A few reasons to be skeptical of machine learning Apr 10 2016 Looking inside machine learning black boxes Jan 2 2016 Winning the bias-variance tradeoff Dec 24 2015 ★ How to trick a neural network into thinking a panda is a vulture Sep 6 2015 Is machine learning safe to use? Jul 4 2015 Some easy statistics: Bootstrap confidence intervals Feb 6 2015 A/A testing Nov 17 2014 Fun with machine learning: logistic regression! Nov 16 2014 Fun with machine learning: does your model actually work? Jul 11 2014 Fun with stats: How big of a sample size do I need? Jun 19 2014 Machine learning isn't Kaggle competitions Dec 22 2013 ★ A pandas cookbook Feb 27 2013 Graphing bike path data with IPython Notebook and pandas