000			02005cam a22003138i 4500
001			21226263
003			CL-VaUT
005			20230802160044.0
008			191003s2020 enka b 001 0 eng
020			_a9781108473989
040			_aCL-VaUT _beng
082	0	0	_a006.312 _223 _bZ21 _c2020
100	1		_aZaki, Mohammed J., _d1971- _eautor _9103720
245	1	0	_aData mining and machine learning : _bfundamental concepts and algorithms / _cMohammed J. Zaki, Wagner Meira Jr.
264		1	_aCambridge, United Kingdom ; New York, NY : _bCambridge University Press, _c2020
300			_axi, 766 páginas: _eilustraciones
336			_atexto _btxt _2rdacontent
337			_ano mediado _bn _2rdamedia
338			_avolumen _bnc _2rdacarrier
500			_aRevised edition of: Data mining and analysis. 2014.
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"-- _cProvided by publisher.
521			_aCOBERTURA BIBLIOGRAFICA: EIN091B Asignatura: Inteligencia de negocios
590			_aÚltima actualización 10 de enero 2023
650		0	_aMINERIA DE DATOS _9117101
700	1		_aMeira, Wagner, _d1967- _eautor _9143273
856			_uhttps://bibliotecadigital.usm.cl/info/01248438 _zVERSIÓN DIGITAL
942			_2DEWEY _cBGC
998			_bjsm
999			_c123248 _d123247