| 000 | 01013 a2200301 4500 | ||
|---|---|---|---|
| 001 | 12105 | ||
| 999 |
_c12105 _d1736 |
||
| 003 | TR-AnTOB | ||
| 005 | 20200526160918.0 | ||
| 008 | 010412s2001 nyua b 001 0 eng | ||
| 010 | _a2001031433 | ||
| 020 | _a0387952845 (alk. paper) | ||
| 040 |
_aDLC _cDLC _dDLC |
||
| 041 | _aeng | ||
| 042 | _apcc | ||
| 050 | 0 |
_aQ325.75 _bH37 2001 |
|
| 090 | _aQ325.75 H37 2001 | ||
| 100 |
_aHastie, Trevor _94550 |
||
| 245 | 4 |
_aThe elements of statistical learning : _bdata mining, inference, and prediction : with 200 full-color illustrations / _cTrevor Hastie, Robert Tibshirani, Jerome Friedman. |
|
| 264 | 1 |
_aNew York : _bSpringer, _cc2001. |
|
| 300 |
_axvi, 533 p. : _bcol. ill. ; _c25 cm. |
||
| 490 | 0 | _aSpringer series in statistics | |
| 504 | _aIncludes bibliographical references (p. [509]-522) and indexes. | ||
| 650 |
_aSupervised learning (Machine learning) _94553 |
||
| 700 |
_aFriedman, J. H., _q(Jerome H.) _94551 |
||
| 700 |
_aTibshirani, Robert _94552 |
||
| 942 | _cBK | ||