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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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 undergraduate and introductory level graduate courses in machine learning.
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Chapter 1. IntroductionChapter 2. Concept Learning and the General-to-Specific OrderingChapter 3. Decision Tree LearningChapter 4. Artificial Neural NetworksChapter 5. Evaluating HypothesesChapter 6. Bayesian LearningChapter 7. Computational Learning TheoryChapter 8. Instance-Based LearningChapter 9. Inductive Logic ProgrammingChapter 10. Analytical LearningChapter 11. Combining Inductive and Analytical LearningChapter 12. Reinforcement Learning.
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Produktdetaljer

ISBN
9780071154673
Publisert
1997-10-16
Utgiver
Vendor
McGraw-Hill Professional
Vekt
921 gr
Høyde
241 mm
Bredde
168 mm
Dybde
33 mm
Aldersnivå
01, G
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
352

Forfatter