Description: Get ready to dive into the world of statistical learning with this comprehensive textbook from Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten. Published by Springer, this hardcover book is a must-have for anyone interested in computers, mathematics, probability & statistics, intelligence & semantics, and general mathematics. With a length of 9.3 inches, a width of 6.1 inches, and a weight of 42 ounces, this book is a great addition to your collection. It includes Xv and 607 pages of insightful content, making it a valuable resource for students and professionals alike. Don't miss out on this opportunity to expand your knowledge in statistical learning.
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Location: LaGrange, Georgia
End Time: 2024-10-28T14:58:25.000Z
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All returns accepted: ReturnsNotAccepted
Number of Pages: Xv, 607 Pages
Publication Name: Introduction to Statistical Learning : with Applications in R
Language: English
Publisher: Springer
Publication Year: 2021
Subject: Mathematical & Statistical Software, Probability & Statistics / General, Intelligence (Ai) & Semantics, General
Type: Textbook
Item Weight: 42 Oz
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Author: Trevor Hastie, Gareth James, Robert Tibshirani, Daniela Witten
Series: Springer Texts in Statistics Ser.
Item Width: 6.1 in
Format: Hardcover
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