Mitchell, Tom M creator Mitchell, Tom M. text New York : McGraw-Hill ©1997 monographic eng

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xvii, 414 pages : illustrations ; 25 cm 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 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. / Tom M Mitchell Computer Science Special computer methods (e.g. AI, multimedia, VR)[4] Machine learning Computer algorithms Artificial intelligence Machine-learning Algorithmes 006.31 MIT 9780071154673 :Donated from Prof Madan Gopal 220512 20220512160615.0