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007			ta
008			200723s2021 mau b 001 0 eng
010			_a 2020033697
020			_a9780262542524 (paperback)
020			_a0262542528 (paperback)
040			_aDLC _beng _erda _cDLC _dDLC
041			_aeng
042			_apcc
050	1	4	_aQ 325.5 _bA456m 2021
082	0	0	_a006.3/1
100	1		_aAlpaydin, Ethem. _930230
245	1	0	_aMachine learning / _cEthem Alpaydin.
250			_aRevised and updated edition.
264		1	_aCambridge, Massachusetts : _bThe MIT Press, _c2021.
300			_axix, 255 pages : _billustrations ; _c18 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aThe MIT Press essential knowledge series
504			_aIncludes bibliographical references and index.
505	0		_aWhy we are interested in machine learning Machine learning statistics, and data analytics Pattern recognition Neural networks and deep learning Learning clusters and recommendations Learning to take action Challenges and risks Where do we go from here?
520			_a"An updated introduction for generalists to this powerful technology, its applications and possible future directions"-- _cProvided by publisher.
650		0	_aMachine learning.
650		0	_aArtificial intelligence.
650		4	_aAprendizaje automático (Inteligencia artificial) _916252
650		4	_aInteligencia artificial _92027
830		4	_98927 _aThe MIT Press essential knowledge series
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK