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Springer Series in Statistics Ser.: Elements of Statistical Learning : Data Mining, Inference, and Prediction by Trevor Hastie, Jerome Friedman, Robert Tibshirani and J. H. Friedman (2009, Hardcover)
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Overview of Supervised Learning. - Basis Expansions and Regularization. - Model Inference and Averaging. - Boosting and Additive Trees. - Neural Networks. - Support Vector Machines and Flexible Discriminants.
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About this product
Product Identifiers
PublisherSpringer New York
ISBN-100387848576
ISBN-139780387848570
eBay Product ID (ePID)96607090
Product Key Features
Number of PagesXxii, 745 Pages
Publication NameElements of Statistical Learning : Data Mining, Inference, and Prediction
LanguageEnglish
Publication Year2009
SubjectProbability & Statistics / General, Intelligence (Ai) & Semantics, Databases / Data Mining
TypeTextbook
Subject AreaComputers, Mathematics
AuthorTrevor Hastie, Jerome Friedman, Robert Tibshirani, J. H. Friedman
SeriesSpringer Series in Statistics Ser.
FormatHardcover
Dimensions
Item Height1.5 in
Item Weight51.2 Oz
Item Length9.4 in
Item Width6.5 in
Additional Product Features
Edition Number2
Intended AudienceScholarly & Professional
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