This free pdf book **“Introduction to Machine Learning”** by Nils J. Nilsson

## Book Description

My intention is to pursue a middle ground between a theoretical textbook and one that focusses on applications. The book concentrates on the important ideas in machine learning. I do not give proofs of many of the theorems that I state, but I do give plausibility arguments and citations to formal proofs. And, I do not treat many matters that would be of practical importance in applications; the book is not a handbook of machine learning practice. Instead, my goal is to give the reader sucient preparation to make the extensive literature on machine learning accessible.

## Table of Contents

- 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