000			01963cam a22004697i 4500
001			17673262
003			ZET-ke
005			20210614124131.0
008			130326t20132013nyua 001 0 eng d
010			_a 2013936251
020			_a9781461471370 (acidfree paper)
020			_a1461471370 (acidfree paper)
020			_z9781461471387 (eBook)
020			_z1461471389 (eBook)
035			_a(OCoLC)ocn828488009
040			_aBTCTA _beng _cZET-ke _dZET-ke _dOHX _erda _dVTU _dIQU _dCDX _dSINIE _dDLC
042			_alccopycat
050	0	0	_aQA276 _b.I58 2013
072		7	_aQA _2lcco
082	0	4	_a519.5 _223
245	0	3	_aAn introduction to statistical learning : _bwith applications in R / _cGareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.
246	3	0	_aStatistical learning
300			_axvi, 426 pages : _billustrations (some color) ; _c24 cm.
490	1		_aSpringer texts in statistics, _x1431-875X ; _v103
500			_aIncludes index.
505			_aStatistical learning -- Linear regression -- Classification -- resampling methods -- Linear models selection and regularization and regularization -- Moving beyond linearity -- Tree-based methods -- Support Vector machines -- Unsupervised learning.
650		0	_aMathematical statistics. _9890
650		0	_aMathematical models.
650		0	_aMathematical statistics _vProblems, exercises, etc.
650		0	_aMathematical models _vProblems, exercises, etc.
650		0	_aR (Computer program language)
650		0	_aStatistics. _969
700	1		_aJames, Gareth, _eauthor.
700	1		_aWitten, Daniela, _eauthor.
700	1		_aHastie, Trevor, _eauthor.
700	1		_aTibshirani, Robert, _eauthor.
830		0	_aSpringer texts in statistics ; _v103.
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2lcc _cBK _hQA276 _i.I58 2013 _kQA276 _m.I58 2013
999			_c4944 _d4944