Price from
99.99 GBP
99.99 GBP
Introduction to Statistical Learning with Applications in Python by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani
Explore machine learning fundamentals through clear theory, practical examples, and Python code, guiding readers from basic concepts to advanced techniques in regression, classification, and model evaluation
Stores where to buy this product
Sponsored This site contains affiliate links for which we may receive compensation. More information
| This product in Comparor | |
|---|---|
|
Category
This product is cataloged in our store in these categories
|
|
|
International
Find this product in one of our international stores
|
This product has not been found in other countries
|
| Colors
Predominant colors of the product |
|
| Identifiers | |
| Brand | Gareth James |
| ID | 35073929 |
| Dimensions / Weight | |
| Key Features | |
Related articles
(9781461471370) - Dimensions: 157.48 x 238.76 x 25.4mm | 884.5g - Edition statement: 1st ed. 2013, Corr. 7th printing 2017 - Format: 426 pages - Publication date: 01 Sep - ISBN: 9781461471370 - Languages: English | Introduction to Statistical
A concise, practical guide that introduces key concepts of statistical learning and demonstrates their implementation using R, making complex techniques accessible for beginners and practitioners alike.
Springer (9781071614174)
A concise, practical guide that introduces key concepts of statistical learning and demonstrates their implementation using R, making complex techniques accessible for beginners and practitioners alike.
