Machine Learning
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9781259096952
- 006.31 MIT-M
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 | Home library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
![]() |
Dept. of Computational Biology and Bioinformatics Processing Center | Dept. of Computational Biology and Bioinformatics | 006.31 MIT-M (Browse shelf(Opens below)) | Checked out to Gopika Rani (97122606002) | 12/01/2023 | DCB3506 |
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.
There are no comments on this title.
Log in to your account to post a comment.