000 | 01094cam a22003375a 4500 | ||
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001 | u30249 | ||
003 | KWAREICT | ||
005 | 20220304121058.0 | ||
008 | 161107s2009 nyua b 001 0 eng | ||
020 | _a9780387848570 | ||
035 | _a(Kwareict) u30249 | ||
040 | _cKwareTech | ||
082 | 0 | 4 |
_a006.31 H T E _221 |
100 | 1 | _aHastie, Trevor. | |
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, _c2009. |
||
300 |
_axxii, 745 p. : _bill. (some col.) ; _c25 cm. |
||
490 | 0 |
_aSpringer series in statistics, _x0172-7397 |
|
504 | _aIncludes bibliographical references (p. [699]-727) and indexes. | ||
650 | 0 | _aMachine learning. | |
650 | 0 |
_aStatistics _xMethodology. |
|
650 | 0 | _aData mining. | |
650 | 0 | _aBioinformatics. | |
650 | 0 | _aInference. | |
650 | 0 | _aForecasting. | |
650 | 0 | _aComputational intelligence. | |
700 | 1 | _aTibshirani, Robert. | |
700 | 1 |
_aFriedman, J. H. _q(Jerome H.) |
|
942 |
_2ddc _cBOOK |
||
999 |
_c15298 _d15298 |