LDR 02990cam  2200529 i 4500
001 9947797007626
005 20230927105831.0
008 090130s2009    nyuad    b    001 0 eng^^
010    |a2008941148
020    |a9780387848570
020    |a0387848576
020    |a9780387848846|q(paperback)
020    |a0387848843|q(paperback)
020    |z9780387848587|q(electronic)
020    |z0387848584|q(electronic)
035    |a(OCoLC)ocn300478243
040    |aNUI|beng|erda|cNUI|dYDXCP|dCTB|dCDX|dBWX|dIXA|dOHX|dOCLCQ|dOCL|dUBA|dSNK|dAUW|dDLC|dHEBIS|dDEBBG|dOCL|dDEBSZ|dCHRRO|dGZM|dMYG|dALAUL|dUKMGB|dOCLCQ|dOHS|dFDA|dOCLCF|dOCLCQ|dOCLCO|dKLH|dOCLCQ|dUSU|dEYM|dTSC|dOCLCQ|dTFW|dOCLCO|dNJR|dDHA|dOCLCA|dOCLCQ|dGILDS|dOCLCO|dGZH|dZLM|dIPL|dOCLCO|dJVH|dOCLCO|dMNI|dOCLCO|dMST|dOCLCO|dGZN|dOCLCO|dCAI|dOCLCO|dSNN|dOCLCQ|dOCLCO|dIPS|dUKUOY|dOCLCA|dYOU|dOCLCQ|dHUELT|dOCLCO|dAZU|dNZHMA|dOCLCA|dOCLCQ|dOCLCO|dOCLCA|dAZDAC|dOCLCA|dTXHLS|dOCLCO|dIL4J6|dOCLCO|dANO|dOCLCO
050  4 |aQ325.75|b.H37 2009
082 04 |a006.3/1 22|222
090    |aQ325.75|b.H37 2009
100 1  |aHastie, Trevor,|eauthor.
245 14 |aThe elements of statistical learning :|bdata mining, inference, and prediction /|cTrevor Hastie, Robert Tibshirani, Jerome Friedman.
250    |aSecond edition.
264  1 |aNew York :|bSpringer,|c[2009]
300    |axxii, 745 pages :|billustrations (some color), charts ;|c24 cm.
336    |atext|btxt|2rdacontent
337    |aunmediated|bn|2rdamedia
338    |avolume|bnc|2rdacarrier
490 1  |aSpringer series in statistics,|x0172-7397
504    |aIncludes bibliographical references (pages 699-727) and indexes.
505 00 |g1.|tIntroduction --|g2.|tOverview of supervised learning --|g3.|tLinear methods for regression --|g4.|tLinear methods for classification --|g5.|tBasis expansions and regularization --|g6.|tKernel smoothing methods --|g7.|tModel assessment and selection --|g8.|tModel inference and averaging --|g9.|tAdditive models, trees, and related methods --|g10.|tBoosting and additive trees --|g11.|tNeural networks --|g12.|tSupport vector machines and flexible discriminants --|g13.|tPrototype methods and nearest-neighbors --|g14.|tUnsupervised learning --|g15.|tRandom forests --|g16.|tEnsemble learning --|g17.|tUndirected graphical models --|g18.|tHigh-dimensional problems: p>> N.
650  0 |aSupervised learning (Machine learning)
650  0 |aElectronic data processing.
650  0 |aStatistics.
650  0 |aBiology|xData processing.
650  0 |aComputational biology.
650  0 |aMathematics|xData processing.
650  0 |aData mining.
650  0 |aArtificial intelligence.
650  0 |aLearning.
650 12 |aArtificial Intelligence
650  2 |aComputational Biology
650  2 |aData Mining
700 1  |aTibshirani, Robert,|eauthor.
700 1  |aFriedman, J. H.|q(Jerome H.),|eauthor.
830  0 |aSpringer series in statistics.