Springer Texts in Statistics Ser.: Introduction to Statistical Learning :...
The product is a textbook titled "Introduction to Statistical Learning: with Applications in R" from the Springer Texts in Statistics Ser. It covers subjects such as Computers, Mathematics, and Statistics, with a focus on statistical learning and its applications in R. Published in 2021 by Springer, the book is authored by Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten. It is 607 pages long, written in English, and includes topics related to mathematical and statistical software, probability and statistics, as well as artificial intelligence and semantics. The book is a valuable resource for students and professionals interested in statistical learning and its practical applications.
Specifications
| Country Of Origin | United States |
| ISBN | 9781071614174 |
| Subject Area | Mathematics, Computers |
| Publisher | Springer |
| Item Length | 9.2 in |
| Publication Year | 2021 |
| Type | Textbook |
| Format | Hardcover |
| Language | English |
| Item Weight | 42 Oz |
| Item Width | 6.1 in |
| Number Of Pages | 607 Pages |
A nice touch in this textbook is the bookmark ribbon sewn into the spine.