000			01716nam a2200421 a 4500
001			012087
002			a
003			CO-UCACDB
004			m
005			20190820143256.0
008			170221s2015 xx d 000 0 eng d
020			_a9781783982806
041			_aeng
043			_axxk
082	0	4	_a005.133 _cF67m
100	1		_aForte, Rui Miguel
245			_aMastering Predictive Analytics with R : _bMaster the craft of predictive by developin strategy, intuition, and a solid foundation in essential concepts. / _cRui Miguel Forte
250			_a1a ed.
264			_aBirmingham : _bPACKT publishing, _c2015
300			_a384 p. _bgráficas _c23 cm.
500			_aIncluye tabla de contenido
505			_aCap.1 : Gearing up for predictive modeling. -- Cap.2 : Linear regression. -- Cap.3 : Logistic regression. -- Cap.4 : Neural networks. -- Cap.5 : Support vector machines. -- Cap.6 : Tree-based methods. -- Cap.7 : Ensemble methods. -- Cap.8 : Probabilistic graphical models. -- Cap.9 : Time series analysis. -- Cap. 10 : Topic modering. -- Cap.11 . recommenation systems
650	0	4	_aCOMPUTADORES _xPROGRAMAS SOFTWARE
650	0	4	_aESTRUCTURA DE DATOS
650	0	4	_aLENGUAJE DE PROGRAMACIÓN
650	0	4	_aPROGRAMACIÓN _xADMINISTRACIÓN
650	0	4	_aSISTEMAS OPERACIONALES
942			_2ddc _cBK
998			_o20170221 05:08:40 _dgcamilo
998			_o20170222 06:01:12 _dLVALENCIAD
998			_o20170304 01:10:20 _dlalejandra
998			_o20170306 07:30:28 _dlalejandra
998			_o20170306 09:38:51 _dlalejandra
998			_o20170307 08:35:47 _dlalejandra
998			_o20170309 09:25:42 _djmilae
998			_o20170310 09:01:02 _djmilae
998			_o20170310 11:19:56 _djmilae
999			_c11715 _d11715