000			00994nam a22002297a 4500
999			_c2031 _d2031
003			OSt
005			20181205124534.0
008			181205b ||||| |||| 00| 0 eng d
020			_a978-93-530-6669-7
028			_bAllied Informatics, Jaipur _c5670 _d27/11/2018 _q2018-19
040			_aBSDU _bEnglish _cBSDU
082			_a006.31 _bDUT
100			_aDutt, Saikat
245			_aMachine Learning
260			_aChennai _bPearson India Education Services Pvt. Ltd. _c2019
300			_a428
500			_aable of Contents: 1 Introduction to Machine Learning 2 Preparing to Model 3 Modelling and Evaluation 4 Basics of Feature Engineering 5 Brief Overview of Probability 6 B ayesian Concept Learning 7 Super vised Learning: Classification 8 Super vised Learning: Regression 9 Unsupervised Learning 10 Basics of Neural Network 11 Other Types of Learning
650			_aComputer Science Engineering
700			_aChandramouli, Subramanian
700			_aDas, Amit Kumar
942			_2ddc _cBK