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Trevor Hastie & Robert Tibshirani
Statistical Learning with Sparsity [PDF ebook]
The Lasso and Generalizations

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Couverture du Trevor Hastie & Robert Tibshirani: Statistical Learning with Sparsity (PDF)

Discover New Methods for Dealing with High-Dimensional Data A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underl

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Langue Anglais ● Format PDF ● Pages 367 ● ISBN 9781498712170 ● Maison d’édition CRC Press ● Publié 2015 ● Téléchargeable 3 fois ● Devise EUR ● ID 4242531 ● Protection contre la copie Adobe DRM

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Trevor Hastie Robert Tibshirani Martin Wainwright California, USA Stanford University, California, USA) Hastie Trevor (Stanford university Stanford University Stanford University California, USA Stanford University, California, USA) Tibshirani Robert (Stanford university Stanford University Stanford University University of California, Berkeley) Wainwright Martin (Department of Statistics California, USA) Hastie Trevor (Stanford University California, USA) Tibshirani Robert (Stanford University

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