Machine Learning / Tom M. Mitchell
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TextPublication details: Chennai McGraw Hill Education (India) Pvt. Ltd. 2018Description: xvii, 414p. : ill. ; 23cmISBN: - 9781259096952
- 23rd 006.31 MIT
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It includes index
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.
Table of Contents:
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.
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