000 | 01299nam a22002657a 4500 | ||
---|---|---|---|
001 | 9255 | ||
003 | IN-BhIIT | ||
005 | 20240726180657.0 | ||
008 | 200318b ||||| |||| 00| 0 eng d | ||
020 | _a9781461471370 | ||
040 | _aIN-BhIIT | ||
041 | _aeng | ||
082 |
_a519.5 _bJAM/I |
||
100 | 1 | 3 |
_aJames, Gareth _eauthor _921590 |
245 |
_aAn introduction to statistical learning : _bwith applications in R / _cGareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani |
||
260 |
_aNew York : _bSpringer, _cc2013. |
||
300 |
_axiv, 426 p. ; _c26 cm. |
||
490 | _aSpringer texts in statistics | ||
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. _aStatistics as Topic. _aR (Computer program language) _921591 |
||
700 |
_aWitten, Daniela _eauthor _921592 |
||
700 |
_aHastie, Trevor _eauthor _9809 |
||
700 |
_aTibshirani, Robert _eauthor _9812 |
||
942 |
_cTRB _04 |
||
999 |
_c10699 _d10699 |