Price from
29.70 USD
29.70 USD
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
Textbooks.com
| 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 | |
Download our Android app and save!
Related articles
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.
Hill and Wang (9780809033591) - Grady Klein - Paperback - PAN MACMILLAN - Publication year: 2013
Explore probability, inference, and regression with this comprehensive guide that blends theory and real‑world examples, offering clear explanations, worked problems, and practical applications for students and professionals.
(9781498778114)