| 000 | 01299nam a22002057a 4500 | ||
|---|---|---|---|
| 999 |
_c1949 _d1949 |
||
| 003 | OSt | ||
| 005 | 20181126112832.0 | ||
| 008 | 181126b ||||| |||| 00| 0 eng d | ||
| 020 | _a978-1-25-909695-2 | ||
| 028 |
_bAllied Informatics, Jaipur _c5606 _d13/11/2018 _q2018-19 |
||
| 040 |
_aBSDU _bEnglish _cBSDU |
||
| 082 |
_a006.31 _bMIT |
||
| 100 | _aMitchell, Tom M | ||
| 245 | _aMachine Learning | ||
| 260 |
_aChennai _bMcGraw Hill Education (India) Pvt. Ltd _c2018 |
||
| 500 | _aThis 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. | ||
| 504 | _aContents: 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. | ||
| 650 | _aCSE | ||
| 942 |
_2ddc _cBK |
||