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 |
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| QA76.88 .I56 2015 Industrial applications of high performance computing : best global practices / | QA76.9 .A25 .S24 2003 Data privacy and security / | QA76.9 .A43 M681 1997 Machine Learning / | QA76.9 .A43 M681 1997 Machine Learning / | QA76.9 .B45 B54 2018 Big data Analytics in Chemical Engineering / | QA76.9 .C55 .R35 1999 Learn microsoft SQL server 7.0 / | QA76.9 .C64 .L36 1989 Elements of computer organization / |
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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