An Introduction to Statistical Learning provides an overview of the concept of statistical learning, an essential toolset for making sense of vast and complex data sets. With a focus on applications in R, the book takes a practical approach to understanding statistical learning methods. It explores concepts like linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines and unsupervised learning.

Gareth James

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