Springer Texts in Statistics Ser.: An Introduction to Statistical Learning :...
USD 22.00 USD
"An Introduction to Statistical Learning: with Applications in R" is a comprehensive textbook on statistical learning, focusing on its applications in R. Authored by Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten, the book covers a range of topics in mathematical and statistical software, probability, and statistics. Published by Springer New York in 2017, this hardcover edition is part of the Springer Texts in Statistics Ser. With 426 pages, the book offers a thorough introduction to statistical learning, making it a valuable resource for students and professionals in the field of data science and machine learning.
Specifications
| ISBN | 9781461471370 |
| Subject Area | Mathematics, Computers |
| Publisher | Springer New York |
| Item Length | 9.5 in |
| Publication Year | 2017 |
| Type | Textbook |
| Format | Hardcover |
| Language | English |
| Item Height | 0.9 in |
| Item Weight | 35.8 Oz |
| Item Width | 6.4 in |
| Number Of Pages | Xiv, 426 Pages |
This textbook is the one I kept after the course ended for reference.
