Machine Learning

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





An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

By: Nello Cristianini, John Shawe-Taylor

2000

Learning in Graphical Models

By: Michael Irwin Jordan

1998

Neural Networks for Pattern Recognition

By: Christopher M. Bishop

1996

Pattern Classification

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

2000

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

By: Trevor Hastie, Robert Tibshirani, Jerome Friedman

2016

Information Theory, Inference and Learning Algorithms

By: David J. C. MacKay

2003

Machine Learning

By: Tom M. Mitchell

1997