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About this product
Product Identifiers
PublisherMcgraw-Hill Education
ISBN-100070428077
ISBN-139780070428072
eBay Product ID (ePID)990689
Product Key Features
Number of Pages432 Pages
Publication NameMachine Learning
LanguageEnglish
Publication Year1997
SubjectProgramming / Algorithms, Mechanical
TypeTextbook
AuthorThomas Mitchell
Subject AreaComputers, Technology & Engineering
FormatHardcover
Dimensions
Item Height1.3 in
Item Weight32.6 Oz
Item Length9.5 in
Item Width6.6 in
Additional Product Features
Intended AudienceCollege Audience
LCCN97-007692
Dewey Edition21
IllustratedYes
Dewey Decimal006.3/1
Table Of ContentChapter 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.
SynopsisThis 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.