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Machine Learning

Author: Tom M Mitchell
Publisher: New York : McGraw-Hill, ©1997.
Series: McGraw-Hill series in computer science.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.
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Genre/Form: Aufsatzsammlung
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Tom M Mitchell
ISBN: 0070428077 9780070428072 0071154671 9780071154673
OCLC Number: 36417892
Description: xvii, 414 pages : illustrations ; 25 cm.
Contents: 1. Introduction --
2. Concept Learning and the 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.
Series Title: McGraw-Hill series in computer science.
Responsibility: Tom M. Mitchell.
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Abstract:

Covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. This book is intended to support upper level  Read more...

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