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Machine Learning

By: Material type: TextTextLanguage: English Language Series: McGraw-Hill series in computer sciencePublication details: Chennai McGraw-Hill, 1997Description: xvii, 414 p. Illustration 25 cmISBN:
  • 9781259096952
  • 1259096955
Subject(s): DDC classification:
  • 006.31 MIT
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.
Item type: Lending Books
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Holdings
Item type Current library Collection Call number Status Notes Barcode
Lending Books Lending Books Applied Sciences Library Lending Section Lending Collection 006.31 MIT (Browse shelf(Opens below)) Available $12.30 112985
Lending Books Lending Books Applied Sciences Library Lending Section Lending Collection 006.31 MIT (Browse shelf(Opens below)) Available $12.30 112986
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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