01299nam a22002057a 4500 1949 1949 OSt 20181126112832.0 181126b ||||| |||| 00| 0 eng d 978-1-25-909695-2 Allied Informatics, Jaipur 5606 13/11/2018 2018-19 BSDU English BSDU 006.31 MIT Mitchell, Tom M Machine Learning Chennai McGraw Hill Education (India) Pvt. Ltd 2018 This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning. Contents: Chapter 1. Introduction Chapter 2. Concept Learning and the General-to-Specific Ordering Chapter 3. Decision Tree Learning Chapter 4. Artificial Neural Networks Chapter 5. Evaluating Hypotheses Chapter 6. Bayesian Learning Chapter 7. Computational Learning Theory Chapter 8. Instance-Based Learning Chapter 9. Inductive Logic Programming Chapter 10. Analytical Learning Chapter 11. Combining Inductive and Analytical Learning Chapter 12. Reinforcement Learning. CSE ddc BK 0 0 ddc 0 0 BSDU BSDU GEN 2018-11-26 585.00 1 006.31 MIT 017551 2020-02-12 00:00:00 2019-11-18 585.00 2018-11-26 BK 0 0 ddc 0 0 BSDU BSDU GEN 2018-11-26 585.00 1 006.31 MIT 017552 2020-02-12 00:00:00 2019-11-18 585.00 2018-11-26 BK