Description: This textbook is a valuable resource for individuals interested in the subjects of computers, mathematics, and statistical learning. The book, titled "Introduction to Statistical Learning: with Applications in R" and authored by Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten, is part of the Springer Texts in Statistics Ser. series. The hardcover book is Xiv pages long and has a width of 6.4 inches, a height of 9.5 inches, and a weight of 35.8 ounces. It was published in 2017 by Springer New York and is written in English. The book is ideal for anyone interested in mathematical and statistical software, probability and statistics, and artificial intelligence and semantics.
Price: 54 USD
Location: Alpharetta, Georgia
End Time: 2024-11-11T22:04:45.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money back or replacement (buyer's choice)
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
