Description: This book provides an introduction to statistical learning with applications in R. It covers topics such as statistical learning, data mining, and linear regression analysis. The book is written by Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten, and was published by Springer NY in 2017. The hardcover textbook is part of the Springer Texts in Statistics Ser. series, with acid-free paper and a total of XIV, 426 pages. It has a size of 9.5in. x 6.4in. x 1in. and weighs 32 oz. The book is suitable for adults and further education, with an advanced level. It is available in English and was published in the United States. Book in good condition. See listing photos for details
Price: 35 USD
Location: Winston-Salem, North Carolina
End Time: 2024-10-13T16:56:31.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
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Refund will be given as: Money Back
Subject Area: Statistical Learning, Science+Business
Publication Name: Introduction to Statistical Learning : with Applications in R
Item Length: 9.5in.
Publisher: Springer NY
Subject: Statistics
Series: Springer Texts in Statistics Ser.
Publication Year: 2017
Type: Textbook
Format: Hardcover
Language: English
Item Height: 1 in
Educational Level: Adult & Further Education
Author: Trevor Hastie, Gareth James, Robert Tibshirani, Daniela Witten
Level: Advanced
Features: Acid-free Paper
Country/Region of Manufacture: United States
Item Width: 6.4in.
Item Weight: 32 oz
Number of Pages: Xiv, 426 Pages
