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Presents an essential statistical learning toolkit for practitioners in science, industry, and other fieldsDemonstrates application of the statistical learning methods in RIncludes new chapters on deep learning, survival analysis, and multiple testingCovers a range of topics, such as linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and deep learningFeatures extensive color graphics for a dynamic learning experience
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