Machine Learning
Tom M. Mitchell
ISBN 10: 0070428077 ISBN 13: 9780070428072
Editore: McGraw-Hill Education, 1997
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Bay State Book Company, North Smithfield, RI, U.S.A.
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Descrizione:
The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing. Codice articolo BSM.13W3A
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.
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.
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Dati bibliografici
Titolo: Machine Learning
Casa editrice: McGraw-Hill Education
Data di pubblicazione: 1997
Legatura: Rilegato
Condizione: good