An Introduction to Statistical Learning: With Applications in R by James VG COND
USD 29.90 USD
"An Introduction to Statistical Learning: With Applications in R" is a comprehensive textbook by authors Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten. Published by Springer New York in 2017, this hardcover book covers a range of topics in mathematics and statistics, including machine learning and data analysis. With 426 pages and in English, this textbook is a valuable resource for students and professionals in the field of statistical learning. The book also includes practical applications in R, making it a practical and informative tool for those looking to deepen their understanding of statistical methods.
Specifications
| Pages | 426 |
| Publication Date | 2017-09-01 |
| Country Of Origin | India |
| 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 |
A nice touch in this textbook is the glossary at the back of each chapter.
