000			02122nam a2200457 i 4500
001			000714846
003			OCoLC
005			20240105153439.0
008			190109t20162016nyu rb 001 0 eng d
020			_a9781489976413
020			_a1489976418
020			_z9781489976406
020			_z148997640X
035			_a430405
040			_aNT _bspa _erda _cNT _dUIASF
050		4	_aQA 76.9.B45 _bS88.2016
100	1		_aSuthaharan, Shan _eautor
245	1	0	_aMachine learning models and algorithms for Big Data classification : _bthinking with examples for effective learning / _cShan Suthanharan.
264		1	_aNew York : _bSpringer Science+Business Media, _c2016,
264		4	_c©2016
300			_axix, 259 páginas : _bgráicas a color ; _c24 cm
336			_atexto _btxt _2rdacontent
337			_asin mediación _bn _2rdamedia
338			_avolumen _bnc _2rdacarrier
490	1		_aIntegrated series in information systems, _x1571-0270 ; _vVolume 36
504			_aIncluye referencias bibliográficas e índice.
505	0		_aScience of Information -- Part I Understanding Big Data -- Big Data Essentials -- Big Data Analytics -- Part II Understanding Big Data Systems -- Distributed File System -- MapReduce Programming Platform -- Part III Understanding Machine Learning -- Modeling and Algorithms -- Supervised Learning Models -- Supervised Learning Algorithms -- Support Vector Machine -- Decision Tree Learning -- Part IV Understanding Scaling-Up Machine Learning -- Random Forest Learning -- Deep Learning Models -- Chandelier Decision Tree -- Dimensionality Reduction.
650		4	_aBig data.
650		0	_aElectronic data processing.
650		4	_aProcesamiento electrónico de datos
650		0	_aMachine theory.
650		4	_aTeoría de las máquinas _9322
650		4	_aAprendizaje automático (Inteligencia artificial)
830		0	_aIntegrated series in information systems ; _vVolume 36. _x1571-0270
905			_a01
942		1	_cNEWBFXC1
999			_c670438 _d670438
980			_851 _gRonald RUIZ