Introduction to Machine Learning

Introduction to Machine Learning

This free pdf book by Nils J. Nilsson includes the following chapters: Preliminaries, Boolean Functions, Using Version Spaces for Learning, Neural Networks, Statistical Learning, Decision Trees, Inductive Logic Programming, Computational Learning Theory, Unsupervised Learning, Temporal-Difference Learning, Delayed-Reinforcement Learning and Explanation-Based Learning.

Use the following url to access the free ebook Introduction to Machine Learning .
http://ai.stanford.edu/people/nilsson/mlbook.html