000			01381 a2200205 4500
005			20251011184707.0
008			251011b |||||||| |||| 00| 0 eng d
020			_a9781108473989
082			_a006.3 _bZakD
100			_aZaki, Mohammed J.
245			_aData Mining and Machine Learning : _bFundamental Concepts and Algorithms / _cMohammed J. Zaki & Wagner Meira Jr.
250			_a2nd ed.
260			_bCUP : _aNew York , _c©2020.
300			_axii, 766p.
520			_aThe 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			_aData Mining
650			_aMachine Learning
700			_aJr. Wagner Meira
942			_cBK
999			_c6816 _d6816