000 | 00966 a2200205 4500 | ||
---|---|---|---|
005 | 20250521124422.0 | ||
020 | _a9783031387463 | ||
082 |
_a519.5 _bJAM-A |
||
100 | _aJames, Gareth | ||
245 |
_aAn Introduction to Statistical Learning : _b with Applications in Python / |
||
260 |
_aNew York: _bSpringer, _c2023. |
||
300 |
_axv, 607p _c20cm x 27.5cm |
||
500 | _aIncludes index. | ||
650 | _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, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. | ||
700 | _aWitten, Daniela | ||
700 | _aHastie, Trevor | ||
700 | _aTibshirani, Robert | ||
700 | _aTaylor, Jonathan | ||
942 | _cBK | ||
999 |
_c34959 _d34959 |