Publication date

1997

Topics

Machine learning, Computer algorithms, Artificial Intelligence, Algorithms, Algorithmes, Apprentissage automatique, Künstliche Intelligenz, Maschinelles Lernen, Machine-learning, Algoritmen, Intelligence artificielle, Apprentissage, Psychologie de l'

Publisher

New York : McGraw-Hill

Collection

internetarchivebooks; printdisabled

Contributor

Internet Archive

Language

English

Item Size

1.1G

xvii, 414 pages : 25 cm

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

Includes bibliographical references and indexes

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

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urn:oclc:record:1302154218
urn:lcp:machinelearning0000mitc:lcpdf:7c1e7db8-d3d7-4eb9-b189-a60d49a2713a
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0070428077
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0071154671
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Reviews

IN COLLECTIONS

Internet Archive Books