000			01018nam a22002537a 4500
001			36345
003			Ost
005			20260507154555.0
008			251113s9999||||xx |||||||||||||| ||eng||
020			_a9781009170246
040			_cnitttr
082			_a5.133 _bB787M
100			_a Bhatia,Parteek
245		0	_aMachine Learning With Python: Principles and Practical Techniques
260			_aNew Delhi 110025 _bCambridge University Press & Assessment - Splendor Forum, Jasola District Centre, _c2024
300			_a1096 p.
650			_a and examples have been included in each chapter Advanced topics like Deep Learning
650			_a and Recurrent Neural Networks have been covered extensively
650			_a assuming no previously existing knowledge GitHub resources that provide access to datasets
650			_a Convolutional Neural Networks
650			_a sample code
650			_aAlgorithms are explained in detail with examples with a step-by-step approach to make learning easy and simple
942			_cBK
999			_c295 _d295