000			01730cam a22002418i 4500
001			23892686
003			IIITD
005			20241203020004.0
008			241015s2024 enk b 001 0 eng
010			_a
020			_a9781009170246
040			_aIIITD
082	0	0	_a006.31 _bBHA-M
100	1		_aBhatia, Parteek
245	1	0	_aMachine learning with python : _bprinciples and practical techniques _cby Parteek Bhatia
260			_aNew York : _bCambridge University Press, _c©2024
300			_axi, 1096 p. : _bill. ; _c25 cm.
504			_aIncludes bibliographical references and index
520			_a"Machine learning (ML) has become a dominant problem-solving technique in the modern world, with applications ranging from search engines and social media to self-driving cars and artificial intelligence (AI). This lucid textbook presents the theoretical foundations of ML algorithms, and then illustrates each concept with its detailed implementation in Python to allow beginners to effectively implement the principles in real-world applications. All major techniques, such as regression, classification, clustering, deep learning, and association mining, have been illustrated using step-by-step coding instructions to help inculcate a "learning by doing" approach. The book has no prerequisites, and covers the subject from the ground up, including a detailed introductory chapter on the Python language. As such, it is going to be a valuable resource not only for students of computer science, but also for anyone looking for a foundation in the subject, as well as professionals looking for a ready reckoner"--
650		0	_aMachine learning
650		0	_aPython (Computer program language)
942			_2ddc _cBK _01
999			_c189757 _d189757