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The Resource Machine Learning, Tom M. Mitchell

Machine Learning, Tom M. Mitchell

Creator
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
Language
eng
Work
Publication
Extent
xvii, 414 pages
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
Isbn
9780070428072
Instance
Label
Machine Learning
Title
Machine Learning
Statement of responsibility
Tom M. Mitchell
Creator
Subject
Genre
Language
eng
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
Member of
Cataloging source
DLC
http://library.link/vocab/creatorDate
1951-
http://library.link/vocab/creatorName
Mitchell, Tom M.
Illustrations
illustrations
Index
index present
LC call number
Q325.5
LC item number
.M58 1997
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/subjectName
  • Machine learning
  • Computer algorithms
  • algorithme génétique
  • analyse
  • induction
  • théorème Bayes
  • estimation hypothèse
  • réseau neuronal
  • arbre décision
  • apprentissage machine
  • Algorithmes
  • Apprentissage automatique
  • Computer algorithms
  • Machine learning
  • Machine-learning
  • Algoritmen
  • Künstliche Intelligenz
  • Maschinelles Lernen
  • Intelligence artificielle
  • Apprentissage automatique
  • Algorithmes
  • Psychologie de l'apprentissage
  • Künstliche Intelligenz
  • Maschinelles Lernen
Label
Machine Learning, Tom M. Mitchell
Instantiates
Publication
Bibliography note
Includes bibliographical references and indexes
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Dimensions
25 cm.
Extent
xvii, 414 pages
Isbn
9780070428072
Lccn
97007692
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
  • (OCoLC)36417892
  • (OCoLC)ocm36417892
Label
Machine Learning, Tom M. Mitchell
Publication
Bibliography note
Includes bibliographical references and indexes
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Dimensions
25 cm.
Extent
xvii, 414 pages
Isbn
9780070428072
Lccn
97007692
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
  • (OCoLC)36417892
  • (OCoLC)ocm36417892

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