Machine Learning
Table of Contents

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Program Details

Chapter 1. Introduction

Chapter 2. Concept Learning and the General-to-Specific Ordering

Chapter 3. Decision Tree Learning

Chapter 4. Artificial Neural Networks

Chapter 5. Evaluating Hypotheses

Chapter 6. Bayesian Learning

Chapter 7. Computational Learning Theory

Chapter 8. Instance-Based Learning

Chapter 9. Inductive Logic Programming

Chapter 10. Analytical Learning

Chapter 11. Combining Inductive and Analytical Learning

Chapter 12. Reinforcement Learning.