000			01953cam a22003858i 4500
001			21229736
003			KE-NaKCAU
005			20251022121332.0
006			m |o d |
007			cr |||||||||||
008			191003s2020 enk ob 001 0 eng
010			_a 2019037294
020			_a9781119791782
020			_z9781108473989 _q(hardback)
035			_a21229736
040			_aDLC _beng _cDLC _erda
042			_apcc
050	0	0	_aQA76.9.D343 _bD38 2022
082	0	0	_a006.3/12 _223
245	1	0	_aData mining and machine learning applications / _cedited by Rohit Raja, Kapir, Kapir Kumar Nagwanshi, Sandeep Kumar, K. Ramya Laxmi.
260			_aHoboken, N.J. : _bJohn Wiley & Sons, _c2022.
263			_a1912
504			_aIncludes bibliographical references and index.
520			_a"The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts.New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning"--
650		0	_aData mining. _9268
650		0	_aMachine learning.
650		0	_aArtificial intelligence – Applications.
700			_dRaja, R.
700			_aNagwanshi, K. K.
700			_aKumar, S.
700			_aLaxmi, K. R.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c18930 _d18930