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.
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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.
Read Less
Add this copy of An Introduction to Statistical Learning: with to cart. $70.05, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2022 by Springer-Verlag New York Inc..
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New. Print on demand Contains: Illustrations, black & white, Illustrations, color. Springer Texts in Statistics . XV, 607 p. 191 illus., 182 illus. in color. Intended for college/higher education audience.
Add this copy of An Introduction to Statistical Learning: With to cart. $102.93, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2021 by Springer.
