000			03348cam a2200613Ii 4500
001			ocn405547558
003			OCoLC
005			20200508125156.0
006			m o d
007			cr cn|||||||||
008			090622t20092009nyua ob 001 0 eng d
040			_aGW5XE _beng _erda _epn _cGW5XE _dHNK _dCDX _dN$T _dEBLCP _dE7B _dIDEBK _dOCLCQ _dMERUC _dBTCTA _dBAKER _dAUD _dHUA _dDKDLA _dOCLCQ _dUIU _dOCLCF _dNLGGC _dSLY _dFTU _dRBN _dDEBSZ _dOCLCQ _dOCLCO _dOCLCQ _dCHVBK _dINUAS _dOCLCO _dMERER _dOCLCA _dALAUL _dOCLCO _dLND _dOCLCO _dOCL _dOCLCQ _dUAB _dOCLCO _dOCLCQ _dOCL _dOCLCA _dOCLCO _dOCLCA _dGRG _dU3W _dAU@ _dOCLCO _dOCLCQ _dOCLCA _dICG _dOCLCO _dOCLCA _dOCLCQ _dOCLCA _dOCLCQ _dOCLCA _dOCLCQ _dOCLCA
019			_a233933446 _a352542361 _a370601270 _a427408703 _a502388837 _a559000216 _a647699775 _a666933173 _a771409608 _a880316078 _a970655334 _a993904158 _a1002151284 _a1038393800 _a1043311074
020			_a9780387848587 _q(electronic bk.)
020			_a0387848584 _q(electronic bk.)
020			_a9781282126749 _q(electronic bk.)
020			_a1282126741 _q(electronic bk.)
020			_z9780387848570 _q(print)
020			_z0387848576 _q(print)
020			_z9780387848846 _q(paperback)
020			_z0387848843 _q(paperback)
024	8		_a9786612126741
035			_a(OCoLC)405547558 _z(OCoLC)233933446 _z(OCoLC)352542361 _z(OCoLC)370601270 _z(OCoLC)427408703 _z(OCoLC)502388837 _z(OCoLC)559000216 _z(OCoLC)647699775 _z(OCoLC)666933173 _z(OCoLC)771409608 _z(OCoLC)880316078 _z(OCoLC)970655334 _z(OCoLC)993904158 _z(OCoLC)1002151284 _z(OCoLC)1038393800 _z(OCoLC)1043311074
037			_a978-0-387-84857-0 _bSpringer _nhttp://www.springerlink.com
082	0	4	_a006.3/1 22 _222
049			_aMAIN
100	1		_aHastie, Trevor, _eauthor.
245	1	4	_aThe elements of statistical learning : _bdata mining, inference, and prediction / _cTrevor Hastie, Robert Tibshirani, Jerome Friedman.
250			_aSecond edition, corrected 7th printing.
264		1	_aNew York : _bSpringer, _c[2009]
264		4	_c©2009
300			_a1 online resource (xxii, 745 pages) : _bcolor illustrations
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
490	1		_aSpringer series in statistics, _x0172-7397
500			_aSecond edition corrected at 7th printing in 2013.
504			_aIncludes bibliographical references (pages 699-727) and indexes.
588	0		_aOnline resource and print version record. SpringerLink (viewed September 29, 2014).
590			_aeBooks on EBSCOhost _bAll EBSCO eBooks
650		0	_aSupervised learning (Machine learning)
650		0	_aElectronic data processing.
650		0	_aStatistics.
650		0	_aBiology _xData processing.
650		0	_aComputational biology.
650		0	_aMathematics _xData processing.
650		0	_aData mining.
655		4	_aElectronic books.
700	1		_aTibshirani, Robert, _eauthor.
700	1		_aFriedman, J. H. _q(Jerome H.), _eauthor.
776	0	8	_iPrint version: _aHastie, Trevor. _tElements of statistical learning. _b2nd ed. _dNew York : Springer, ©2009 _z9780387848570 _z0387848576 _w(OCoLC)300478243
830		0	_aSpringer series in statistics. _x0172-7397
856	4	0	_uhttps://ezproxy.taylors.edu.my/login?url=http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=277008 _z An electronic book accessible through the World Wide Web; click to view
999			_c185948 _d185948