000			01102nam a22001577a 4500
020			_a9789353066697
082			_a006.31 _bDUT-M
100			_aDutt, Saikat; Chandramouli, Subramanian & Das, Amit Kumar
245			_aMachine learning _cBy Saikat Dutt, Subramanian Chandramouli & Amit Kumar Das.
250			_a1
260			_aUttarpradesh: _bPearson India Education services, _cc2019.
300			_a428P.
500			_aMachine Learning Features ll Hands-on implementation of machine learning in R and Python ll In-depth treatment of supervised and unsupervised learning ll Examples that showcase the use of machine learning in the industry ll 400+ sample questions and 3 full-length sample exam papers MARKET Undergraduate Students of Computer Science
505			_a1 Introduction to Machine Learning2 Preparing to Model3 Modelling and Evaluation4 Basics of Feature Engineering 5 Brief Overview of Probability6 B ayesian Concept Learning7 Super vised Learning: Classification8 Super vised Learning: Regression9 Unsupervised Learning10 Basics of Neural Network11 Other Types of Learning
942			_cBK
999			_c297456 _d297456