# Machine Learning

Dec 01, 2010

This is a list of textbooks about machine learning which are (a) really good, and (b) free on the web.

*The Elements of Statistical Learning: Data Mining, Inference, and Prediction*, by Trevor Hastie, Robert Tibshirani, and Jerome Friedman (deep coverage of an important subset of the field)*Information Theory, Inference, and Learning Algorithms*, by David MacKay (very mathematical approach, excellent but hard core)*Reinforcement Learning: An Introduction*, by Richard S. Sutton and Andrew G. Barto (dated, but the bible of reinforcement learning)*Bayesian Reasoning and Machine Learning*, by David Barber (incomplete coverage of the field, but solid and accessible and includes Octave/Matlab code)*Machine Learning*by Simon Rogers (I will be using some of the chapters as lecture notes)*Introduction to Machine Learning: Draft of Incomplete Notes*by Nils J. Nilsson (excellent writer; his earlier book on AI saved my bacon; slightly dated)