Machine Learning / Tom M. Mitchell
Material type:
TextSeries: McGraw-Hill series in computer sciencePublisher: United States : McGraw-Hill, 1997 ©1997Description: xvii, 414 pages : illustrations ; 24 cmContent type: - text
- unmediated
- volume
- 0070428077:
- 9780070428072:
- 0071154671:
- QA76.9 .A43 M681 1997
| Item type | Current library | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
| Books - Printed | PERPUSTAKAAN GUNASAMA HAB PENDIDIKAN TINGGI PAGOH | QA76.9 .A43 M681 1997 (Browse shelf(Opens below)) | Available | SF0003438 | ||
| Books - Printed | PERPUSTAKAAN GUNASAMA HAB PENDIDIKAN TINGGI PAGOH | QA76.9 .A43 M681 1997 (Browse shelf(Opens below)) | Available | SF0002923 |
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
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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