Introduction
1. Well-Posed Learning Problems
2. Designing a Learning System
3. Perspectives and Issues in Machine Learning
4. Introduction to Supervised, Unsupervised and Reinforcement Learning.
Concept Learning and the General to Specific Ordering
5. Introduction
6. A Concept Learning Task
7. Concept Learning as Search
8. Find-S: Finding a Maximally Specific Hypothesis
9. Version Spaces and the Candidate Elimination Algorithm.
