000 | 00996cam a22003015a 4500 | ||
---|---|---|---|
005 | 20220518154625.0 | ||
008 | 081106s2009 nyua b 001 0 eng | ||
020 | _a9780387848570 (hardcover : alk. paper) | ||
020 | _a9780387848587 (electronic) | ||
041 | _aeng | ||
082 | 0 | 0 |
_a519.2 _bHAS |
100 | 1 |
_aHastie, Trevor. _92466 |
|
245 | 1 | 4 |
_aThe elements of statistical learning : _bdata mining, inference, and prediction / _cTrevor Hastie, Robert Tibshirani, Jerome Friedman. |
250 | _a2nd ed. | ||
260 |
_aNew York, NY : _bSpringer, _cc2009. |
||
300 | _axxii, 745 p. : | ||
490 | 0 | _aSpringer series in statistics, | |
650 | 0 |
_aMachine learning. _92467 |
|
650 | 0 |
_aStatistics _xMethodology. _92468 |
|
650 | 0 |
_aData mining. _92469 |
|
650 | 0 |
_aBioinformatics. _92470 |
|
650 | 0 |
_aInference. _92471 |
|
650 | 0 |
_aForecasting. _92472 |
|
650 | 0 |
_aComputational intelligence. _92473 |
|
700 | 1 |
_aTibshirani, Robert. _92474 |
|
700 | 1 |
_aFriedman, J. H. _92475 |
|
942 | _cBK | ||
999 |
_c241354 _d241354 |