000			00752nam a2200181la 4500
020			_a9788119896738
082			_a006.31 _bDUT/M
100			_aDutt Saikat
100			_aChandramauli Subrahmanian
100			_aDas Amit Kumar
245		0	_aMachine Learning
250			_a2nd Ed
260			_aNoida _bPearson India Education _c2025
300			_a526p.
505			_a1 Introduction to Machine Learning 2 Preparing to Model 3 Modelling and Evaluation 4 Basics of Feature Engineering 5 Brief Overview of Probability 6 Bayesian Concept Learning 7 Supervised Learning: Classification 8 Supervised Learning: Regression 9 Unsupervised Learning 10 Basics of Neural Networks 11 Other Types of Learning"
650			_aMachine Learning
942			_cBK
999			_c2774 _d2774