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An Introduction to Statistical Learning: with Applications in R - Softcover
Book 71 of 111: Springer Texts in Statistics
Synopsis
Introduction.- Statistical Learning.- Linear Regression.- Classification.- Resampling Methods.- Linear Model Selection and Regularization.- Moving Beyond Linearity.- Tree-Based Methods.- Support Vector Machines.- Unsupervised Learning.- Index.
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An Introduction to Statistical Learning: with Applications in R
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 1461471397-8-1