01464nam a22002897a 4500 20220512160615.0 220512b |||||||| |||| 00| 0 eng d 9780071154673 :Donated from Prof Madan Gopal 006.31 MIT Mitchell, Tom M Machine Learning / Tom M Mitchell New York : McGraw-Hill, ©1997. xvii, 414 pages : illustrations ; 25 cm Donated 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 Computer Science Special computer methods (e.g. AI, multimedia, VR)[4] Machine learning. Computer algorithms. Artificial intelligence. Machine-learning. Algorithmes. Mitchell, Tom M. MDL 59216 59216 0 0 ddc 0 0 MDL MDL 2022-05-12 Donated from Prof Madan Gopal 0 006.31 MIT M376 2022-05-12 00:00:00 2022-05-12 MDL