Description: Introduction to Statistical Learning : With Applications in R, Hardcover by James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert, ISBN 1461471370, ISBN-13 9781461471370, Used Good Condition, Free shipping in the US 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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Book Title: Introduction to Statistical Learning : With Applications in R
Number of Pages: Xiv, 426 Pages
Publication Name: Introduction to Statistical Learning : with Applications in R
Language: English
Publisher: Springer New York
Publication Year: 2017
Item Height: 0.9 in
Subject: Mathematical & Statistical Software, Intelligence (Ai) & Semantics, Probability & Statistics / General
Item Weight: 35.8 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 9.5 in
Author: Trevor Hastie, Gareth James, Robert Tibshirani, Daniela Witten
Series: Springer Texts in Statistics Ser.
Item Width: 6.4 in
Format: Hardcover
