Springer Texts in Statistics An Introduction to Statistical Learning, Book 103, (Hardcover)

This book presents key modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering.