Machine learning

Tom M. Mitchell

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.

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  • 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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書名 Machine learning
著作者等 Mitchell, Tom Michael
Mitchell Thomas
シリーズ名 McGraw-Hill computer science series
出版元 McGraw-Hill
刊行年月 c1997
ページ数 xvii, 414 p.
大きさ 25 cm
ISBN 9780070428072
NCID BA30444721
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言語 英語
出版国 アメリカ合衆国