Machine Learning
Material type:
TextLanguage: English Language Series: McGraw-Hill series in computer sciencePublication details: Chennai McGraw-Hill, 1997Description: xvii, 414 p. Illustration 25 cmISBN: - 9781259096952
- 1259096955
- 006.31 MIT
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Applied Sciences Library Lending Section | Lending Collection | 006.31 MIT (Browse shelf(Opens below)) | Available | $12.30 | 112985 | |
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Lending Books
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Applied Sciences Library Lending Section | Lending Collection | 006.31 MIT (Browse shelf(Opens below)) | Available | $12.30 | 112986 |
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| 006.3 RUS Artificial intelligence | 006.31 KEL Fundamentals of machine learning for predictive data analytics | 006.31 MIT Machine Learning | 006.31 MIT Machine Learning | 006.31 MOH Foundations of machine learning | 006.31 MUR Machine learning | 006.31 MUR Machine learning |
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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