Description: This textbook is a valuable resource for students and professionals interested in the subject area of statistical learning. It provides a comprehensive introduction to the topic and covers a range of applications in R. The book is authored by Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten and is part of the Springer Texts in Statistics Ser. series.The book measures 9.5 inches in length, 6.4 inches in width, and 0.9 inches in height. It weighs 35.8 ounces and has a total of Xiv and 426 pages. The publication year is 2017 and the language is English. The book is a hardcover format and is categorized under Textbooks, Textbooks, Education & Reference, and Books & Magazines.
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End Time: 2024-10-27T14:50:55.000Z
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Number of Pages: Xiv, 426 Pages
Language: English
Publication Name: Introduction to Statistical Learning : with Applications in R
Publisher: Springer New York
Subject: Mathematical & Statistical Software, Intelligence (Ai) & Semantics, Probability & Statistics / General
Item Height: 0.9 in
Publication Year: 2017
Type: Textbook
Item Weight: 35.8 Oz
Author: Trevor Hastie, Gareth James, Robert Tibshirani, Daniela Witten
Item Length: 9.5 in
Subject Area: Mathematics, Computers
Item Width: 6.4 in
Series: Springer Texts in Statistics Ser.
Format: Hardcover
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