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Machine Learning /Tom M Mitchell

By: Contributor(s): Material type: TextTextPublisher number: Brijwasi Book Distributors | H-87, Lalita Park,Laxmi Nagar,Delhi-110092Series: McGraw-Hill series in computer sciencePublication details: New York : McGraw-Hill , ©1997.Description: xvii, 414 pages ; 25 cmISBN:
  • 9781259096952
Subject(s): Genre/Form: DDC classification:
  • 006.31 MIT
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.
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.
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Holdings
Item type Current library Call number Status Barcode
Books Books SNU LIBRARY 006.31 MIT (Browse shelf(Opens below)) Not For Loan 27453
Books Books SNU LIBRARY 006.31 MIT (Browse shelf(Opens below)) Available 27454
Books Books SNU LIBRARY 006.31 MIT (Browse shelf(Opens below)) Available 27455
Books Books SNU LIBRARY 006.31 MIT (Browse shelf(Opens below)) Available 27456
Books Books SNU LIBRARY 006.31 MIT (Browse shelf(Opens below)) Available 27457
Total holds: 0

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.


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.

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