000 01489cam a22003855a 4500
001 15512507
003 OSt
005 20171023112009.0
008 081106s2009 nyua b 001 0 eng
010 _a 2008941148
020 _a9780387848570 (hardcover : alk. paper)
040 _aIISER Bhopal
_cIISER Bhopal
050 0 0 _aQ325.5
_b.H39 2009
082 0 0 _a519.5 H279E2
_223
100 1 _aHastie, Trevor.
_922080
222 _aEECS-Reference book collection
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,
_c2017.
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.
_922081
650 0 _aStatistics
_xMethodology.
_922082
650 0 _aData mining.
_922083
650 0 _aBioinformatics.
_922084
650 0 _aInference.
_922085
650 0 _aForecasting.
_922086
650 0 _aComputational intelligence.
_922087
700 1 _aTibshirani, Robert.
_922088
700 1 _aFriedman, J. H.
_922089
906 _a7
_bcbc
_corignew
_d2
_eepcn
_f20
_gy-gencatlg
942 _2ddc
_cBK
999 _c8276
_d8276