An Introduction to Statistical Learning with Applications in R - 2021
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- Presents an essential statistical learning toolkit for practitioners in science, industry, and other fields
- Demonstrates application of the statistical learning methods in R
- Includes new chapters on deep learning, survival analysis, and multiple testing
- Covers a range of topics, such as linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and deep learning
- Features extensive color graphics for a dynamic learning experience