Description: This textbook titled "An Introduction to Statistical Learning: with Applications in R" is a must-have for anyone interested in the subject areas of Computers and Mathematics. The book, authored by Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten, is published by Springer and has a total of 607 pages. The book is available in a Trade Paperback format and has dimensions of 9.3 inches in length and 6.1 inches in width, with a weight of 33.3 ounces. It was published in the year 2022 under the Springer Texts in Statistics Ser. series. The book is written in English and has an Xv page number. It is a comprehensive textbook that covers the subject of Mathematical & Statistical Software, Probability & Statistics / General, and Intelligence (Ai) & Semantics.
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End Time: 2025-01-16T17:58:45.000Z
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Book Title: An Introduction to Statistical Learning: with Applications in R
MPN: Does not apply
Number of Pages: Xv, 607 Pages
Publication Name: Introduction to Statistical Learning : with Applications in R
Language: English
Publisher: Springer
Subject: Mathematical & Statistical Software, Intelligence (Ai) & Semantics, Probability & Statistics / General
Publication Year: 2022
Item Weight: 33.3 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Mathematics, Computers
Author: Trevor Hastie, Gareth James, Robert Tibshirani, Daniela Witten
Item Width: 6.1 in
Series: Springer Texts in Statistics Ser.
Format: Trade Paperback
