Description: This textbook titled "An Introduction to Statistical Learning: with Applications in R" is a comprehensive guide for anyone interested in the subject area of computers and mathematics. The book covers a wide range of topics including mathematical and statistical software, probability and statistics, and intelligence and semantics. With a publication year of 2022 and a series of Springer Texts in Statistics, this trade paperback book is authored by Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten. The book is Xv pages long and weighs 33.3 Oz. It has a length of 9.3 inches, a width of 6.1 inches, and a number of pages of 607. The book is published by Springer and is available in English language.
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End Time: 2024-11-28T23:44:46.000Z
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Brand: Unbranded
Book Title: An Introduction to Statistical Learning: with Applications in R
MPN: Does not apply
Number of Pages: Xv, 607 Pages
Language: English
Publication Name: Introduction to Statistical Learning : with Applications in R
Publisher: Springer
Publication Year: 2022
Subject: Mathematical & Statistical Software, Intelligence (Ai) & Semantics, Probability & Statistics / General
Type: Textbook
Item Weight: 33.3 Oz
Author: Trevor Hastie, Gareth James, Robert Tibshirani, Daniela Witten
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Series: Springer Texts in Statistics Ser.
Item Width: 6.1 in
Format: Trade Paperback
