000			01121nam a22002177a 4500
003			OSt
005			20250513115517.0
008			250513b |||||||| |||| 00| 0 eng d
020			_a9780190127275
040			_bEng _cNLU
082			_223rd Ed. _a006.31 _bSRI
100			_aSridhar, Dr. S.
245			_aMachine Learning/ _cBy Dr. S. Sridhar & Dr. M. Vijayalakshmi.
250			_a1st Ed.
260			_aNew Delhi: _bOxford University Press, _c2021.
300			_axiv, 479p;, _c23cm.
500			_aContents: 1. Introduction to Machine Learning. 2. Understanding Data. 3. Basics of Learning Theory. 4. Similarity-based Learning. 5. Regression Analysis. 6. Decision Tree Learning. 7. Rule-based Learning. 8. Bayesian Learning. 9. Probabilistic Graphical Models. 10. Artificial Neural Networks. 11. Support Vector Machines. 12. Ensemble Learning. 13. Clustering Algorithms. 14. Reinforcement Learning. 15. Genetic Algorithms. 16. Deep Learning.
504			_aIncludes 1. Bibliography. 2. Index. 3. About the Author. 4. Related Titles.
700			_aVijayalakshmi, Dr. M.
942			_2ddc _cBK _e1st Ed. _n0
999			_c14056 _d14056