Machine Learning

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





Pattern Recognition and Machine Learning

By: Christopher M. Bishop

2006

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

By: Trevor Hastie, Robert Tibshirani, Jerome Friedman

2016

Neural Networks and Learning Machines

By: Simon Haykin

2008

An Introduction to Computational Learning Theory

By: Michael J. Kearns, Umesh Vazirani

1994

Understanding Machine Learning: From Theory to Algorithms

By: Shai Shalev-Shwartz, Shai Ben-David

2014