000			01377nam a2200253 a 4500
001			vtls000159507
003			IIMBL
005			20180822140840.0
008			180507t2013 a 001 eng
020			_a9781461471370 _c€59.99
020			_z9781461471387 (ebk)
039		9	_a201805071654 _bnavnath _y201805071632 _znavnath
082			_a519.5 _bJAM
100	1		_aJames, Gareth
245	1	3	_aAn introduction to statistical learning : _bwith applications in R / _cGareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.
260			_aNew York : _bSpringer, _c2013.
300			_axvi, 426 p.: _bill. (some color) ; _c24 cm.
490	1		_aSpringer texts in statistics, _x1431-875X ; _v103
500			_aIncludes index.
520			_aAn Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications.
650			_aMathematical statistics.
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999			_aVIRTUA4 _c1275 _d1275
999			_aVTLSSORT0030*0080*0200*0201*0390*0820*1000*2450*2600*3000*3690*4900*5000*5200*6500*9992