MACHINE LEARNING (Int'l Ed) - Softcover

Mitchell, Thom

Softcover

ISBN 10: 0071154671 ISBN 13: 9780071154673

Publisher: McGraw-Hill Education, 1997

Synopsis

This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.

About this title

From the Publisher:

No other book covers the concepts and techniques from the various fields in a unified fashion.
Covers very recent subjects such as genetic algorithms, reinforcement learning, and inductive logic programming.
Writing style is clear, explanatory and precise.

From the Author:

Table of Contents:

1. Introduction
2. Concept Learning and General-to-Specific Ordering
3. Decision Tree Learning
4. Artificial Neural Networks
5. Evaluating Hypotheses
6. Bayesian Learning
7. Computational Learning Theory
8. Instance-Based Learning
9. Genetic Algorithms
10. Learning Sets of Rules
11. Analytical Learning
12. Combining Inductive and Analytical Learning
13. Reinforcement Learning

Includes web-accessible data and code.

About this edition

• Publisher: McGraw-Hill Education
• Publication date: 1997
• ISBN 10: 0071154671
• ISBN 13: 9780071154673
• Binding: Paperback
• Number of pages: 352