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Machine Learning / Tom M. Mitchell.
Material type:
TextPublication details: New Delhi : McGraw Hill Education (India), 2015,c1997.Description: xvii, 414 p. : ill. ; 25 cmISBN: - 9781259096952
- 1259096955
- 006.31 21 MIT
- Q325.5 .M58 1997
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.
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
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Learning Resource Centre | 006.31 MIT (Browse shelf(Opens below)) | Available | 8335 |
Total holds: 0
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| 006.31 JAD Improving machine learning using clustering based preprocessing | 006.31 KIR Thoughtful machine learning with Python : | 006.31 KUL An Elementary introduction to statistical learning theory | 006.31 MIT Machine Learning / | 006.31 ONE Doing data science : | 006.31 ONE Doing data science : | 006.31 ONE Doing data science : |
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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