| 000 | 00969nam a2200325Ia 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20220912150345.0 | ||
| 006 | a|||||r|||| 00| 0 | ||
| 007 | ta | ||
| 008 | 220909b |||||||| |||| 00| 0 eng d | ||
| 020 | _a0387952845 (pbk) | ||
| 024 | _a9418 | ||
| 037 | _bAshutosh, | ||
| 037 | _cTextual | ||
| 040 |
_aCSL _beng _cCSL |
||
| 041 | _aeng | ||
| 082 | _aB28, P1 | ||
| 100 | _aHastie Trevor | ||
| 245 | 0 | _aElements of statistical learning: data mining, inference and prediction | |
| 260 |
_aNew York _b Springer-Verlag _c2001 |
||
| 300 | _axvi, 533p | ||
| 490 | _aSpringer series in statistics | ||
| 500 | _aBibliographical references 509-522p; Indexes 523-533p | ||
| 650 | _a Supervised learning | ||
| 650 | _aStatistics | ||
| 700 | _a Friedman Jerome | ||
| 700 | _a Tibshirani Robert | ||
| 942 |
_hB28, P1 _cTEXL _2CC |
||
| 999 |
_c45840 _d45840 |
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