Machine Learning

Here you can find lists of great Machine Learning books are or have been used to teach courses at Stanford.





Pattern Classification

By: Richard O. Duda, Peter E. Hart, David G. Stork

2000

Machine Learning

By: Tom M. Mitchell

1997

Reinforcement Learning: An Introduction

By: Richard S. Sutton, Andrew G. Barto

1998

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition

By: Trevor Hastie, Robert Tibshirani, Jerome Friedman

2016

Deep Learning

By: Ian Goodfellow, Yoshua Bengio, Aaron Courville

2016

Artificial Intelligence: A Modern Approach

By: Stuart Russell, Peter Norvig

2009

Reinforcement Learning: State-of-the-Art

By: Marco Wiering, Martijn van Otterlo

2012