| Record ID | marc_loc_2016/BooksAll.2016.part36.utf8:91731486:1137 |
| Source | Library of Congress |
| Download Link | /show-records/marc_loc_2016/BooksAll.2016.part36.utf8:91731486:1137?format=raw |
LEADER: 01137cam a22003375a 4500
001 2008941148
003 DLC
005 20100327091516.0
008 081106s2009 nyua b 001 0 eng
010 $a 2008941148
020 $a9780387848570 (hardcover : alk. paper)
020 $a9780387848587 (electronic)
040 $aDLC$cDLC$dDLC
050 00 $aQ325.5$b.H39 2009
082 00 $a006.3/1$222
100 1 $aHastie, Trevor.
245 14 $aThe elements of statistical learning :$bdata mining, inference, and prediction /$cTrevor Hastie, Robert Tibshirani, Jerome Friedman.
250 $a2nd ed.
260 $aNew York, NY :$bSpringer,$cc2009.
300 $axxii, 745 p. :$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.)