000 01699nam a2200409 a 4500
001 21974
003 BD-DhAAL
005 20251021113653.0
008 110223s2009 nyua b 001 0 eng d
010 _a 2008941148
020 _a9780387848570 (hardcover : alk. paper)
020 _a9780387848587 (electronic)
040 _aDLC
_cDLC
_dDLC
_dBD-DhAAL
082 0 0 _a006.31
_222
100 1 _aHastie, Trevor.
_921596
245 1 4 _aThe elements of statistical learning :
_bdata mining, inference, and prediction /
_cTrevor Hastie, Robert Tibshirani, Jerome Friedman.
250 _aSecond edition.
260 _aNew York, NY :
_bSpringer,
_cc2009
_g(2017 printing)
300 _axxii, 745 pages :
_billustrations (some colors) ;
_c25 cm
490 0 _aSpringer series in statistics,
_x0172-7397
504 _aIncludes bibliographical references (pages [699]-727) and index.
526 _aCSE
650 0 _aMachine learning.
_921597
650 0 _aStatistics
_xMethodology.
_921598
650 0 _aData mining.
_921599
650 0 _aBioinformatics.
_921600
650 0 _aInference.
_921601
650 0 _aForecasting.
_921602
650 0 _aComputational intelligence.
_921603
650 0 _aComputer science.
_942375
700 1 _aTibshirani, Robert.
_921604
700 1 _aFriedman, J. H.
_q(Jerome H.)
_921605
830 _aSpringer series in statistics,
_x0172-7397
_959693
852 4 _aAyesha Abed Library
_jGeneral Stacks
942 _2ddc
_cBK
999 _c10479
_d10479