Machine learning - Brossura

Mitchell, Tom

Brossura

ISBN 10: 0071154671 ISBN 13: 9780071154673

Casa editrice: McGraw-Hill Education, 2019

Riassunto

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.

Su questo libro

Contenuti:

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.

Su questa edizione

• Editore: McGraw-Hill Education
• Data di pubblicazione: 2019
• ISBN 10: 0071154671
• ISBN 13: 9780071154673
• Rilegatura: Copertina flessibile
• Numero di pagine: 352