Marketplace.
An Introduction To Statistical Learning
£63.05
£63.05/each
Sold and sent by Speedyhen
Delivered by post or courier
Delivery
- FREE standard courier delivery by Thu 10 Jul
Returns
Returns available within 30 days. A fee may apply.
An Introduction To Statistical Learning
£63.05
£63.05/each
Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naïve Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.
Sold by Speedyhen (Speedy Hen LTD)
| Author | James, Gareth |
|---|---|
| Format | Paperback |
| ISBN-13 | 9781071614204 |
| Item Height | 3.5 |
| Item Length | 15.6 |
| Item Width | 23.3 |
| Publisher | Lightning Source Uk Ltd |
Delivery
- FREE standard courier delivery by Thu 10 Jul
Returns
Not happy with a Marketplace item? You can request a return and refund online up to 30 days after the delivery date. You'll need to return the item to the Marketplace seller.Our returns policy
About Marketplace
We're giving you more choice than ever before. Shop more products from more brands across homewares, beauty, electricals and much more.
Sold and sent by trusted sellers right to your door.
No reviews yet
Help other customers like you
Reviews are submitted by our customers directly through our website. We also share reviews from other retailers' websites to help you make an informed decision.
Write a review