000			01874nmm a22004337a 4500
003			SPU
005			20210707232928.0
008			200716b2017 nyu|||||o|||| 00| 0 eng d
020			_a9781461471387 (E-book)
040			_aSPU _cSPU
050		4	_aQA 276 _bI57 2017
245	0	3	_aAn introduction to statistical learning : _bwith applications in R / _cGareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani _h[electronic resource]
246	3	0	_aStatistical learning
250			_aEighth edition
260			_aNew York : _bSpringer : _c2017
300			_a1 online resource ( xiv, 426 pages) : _billustrations
449			_a140501
490	1		_aSpringer texts in statistics
504			_aIncludes index
505	0		_aIntroduction -- Statistical learning -- Linear regression -- Classification -- Resampling methods -- Linear model selection and regularization -- Moving beyond linearity -- Tree-based methods -- Support vector machines -- Unsupervised learning
650		0	_aMATHEMATICAL STATISTICS _935000
650		0	_aMATHEMATICAL MODELS _946876
650		0	_aMATHEMATICAL STATISTICS _9237931 _xPROBLEMS, EXERCISES, ETC
650		0	_aMATHEMATICAL MODELS _9237932 _xPROBLEMS, EXERCISES,ETC
650		0	_aRTL (COMPUTER PROGRAM LANGUAGE) _9187341
650		0	_aSTATISTICS _934720
650	1	0	_aMODELS, STATISTICAL _9237933
650	1	0	_aSTATISTICS AS TOPIC _9237934
700			_aJames, Gareth _9238056
700			_aWitten, Daniela _9238057
700			_aHastie, Trevor _9238058
700			_aTibshirani, Robert _9238059
830		0	_aSpringer texts in statistics. _0http://id.loc.gov/authorities/names/n84743107
850			_aSPU
856			_uhttps://drive.google.com/file/d/1bl7xSXrryGm9UE1JLsQ687jpO0p7T00q/view?usp=sharing _yView Full-text
910			_aLibrary _bSpringer _c150720
942			_2lcc _cEBK
998			_aniparat 0720 _bniparat 0720
999			_c198306