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
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An Introduction to Statistical Learning: with Applications in R
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