Machine Learning Books

I have been collecting machine learning books over the past couple months. It seems that machine learning professors are good about posting free legal pdfs of their work. I hope they are useful to you. I saw a couple of these books posted individually, but not many of them and not all in one place, so I decided to post.

Machine Learning

All of Statistics. Larry Wasserman

Elements of Statistical Learning. Hastie, Tibshirani, Friedman

Machine Learning and Bayesian Reasoning. David Barber

Gaussian Processes for Machine Learning. Rasmussen and Williams

Information Theory, Inference, and Learning Algorithms. David MacKay

Introduction to Machine Learning. Smola and Vishwanathan

Useful for machine learning

Applied Numerical Linear Algebra. James Demmel

Basic Probability Theory. Robert Ash

Convex Optimization. Boyd and Vandenberghe