Springer Texts in Statistics Ser.: An Introduction to Statistical Learning :...

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