COVID-19 Response at

Read what we're doing...

Statistical Learning from a Regression Perspective


Product Description
Product Details

Table of Contents

Statistical Learning as a Regression Problem.- Splines, Smoothers, and Kernels.- Classification and Regression Trees (CART).- Bagging.- Random Forests.- Boosting.- Support Vector Machines.- Some Other Procedures Briefly.- Broader Implications and a Bit of Craft Lore.

About the Author

Richard Berk is Distinguished Professor of Statistics Emeritus from the Department of Statistics at UCLA and currently a Professor at the University of Pennsylvania in the Department of Statistics and in the Department of Criminology. He is an elected fellow of the American Statistical Association and the American Association for the Advancement of Science and has served in a professional capacity with a number of organizations such as the Committee on Applied and Theoretical Statistics for the National Research Council and the Board of Directors of the Social Science Research Council. His research has ranged across a variety of applications in the social and natural sciences.


"This book is an outstanding example of synthesizing theoretical knowledge with applications, mathematical notations with R code, and statistics with machine learning. It has relevant exercise sets and will be an excellent textbook for a broad range of quantitatively oriented students, specifically, for those specializing in data science or taking a course on statistical learning." (Vyacheslav Lyubchich, Technometrics, Vol. 59 (4), November, 2017)"The book focuses on supervised learning techniques that can be viewed as a form of regression ... . There are instructive problems at the end ... and examples with code in R to illustrate throughout. ... This is a thought provoking book worthy of serious attention by machine learning practitioners." (Peter Rabinovitch, MAA Reviews, July, 2017)

"The intended audience includes advanced undergraduate and graduate students biostatistics in the fields of social science and life science, as well as researchers who want to apply statistical learning procedures to scientific and policy problems. ... This is an excellent overview of statistical learning applications. It is strongly recommended to advanced researchers and statisticians particularly interested in the social and behavioral aspects of data analysis." (Puja Sitwala, Doody's Book Reviews, January, 2017)

Ask a Question About this Product More...
Write your question below:
Look for similar items by category
How Fishpond Works
Fishpond works with suppliers all over the world to bring you a huge selection of products, really great prices, and delivery included on over 25 million products that we sell. We do our best every day to make Fishpond an awesome place for customers to shop and get what they want — all at the best prices online.
Webmasters, Bloggers & Website Owners
You can earn a 8% commission by selling Statistical Learning from a Regression Perspective (Springer Texts in Statistics) on your website. It's easy to get started - we will give you example code. After you're set-up, your website can earn you money while you work, play or even sleep! You should start right now!
Authors / Publishers
Are you the Author or Publisher of a book? Or the manufacturer of one of the millions of products that we sell. You can improve sales and grow your revenue by submitting additional information on this title. The better the information we have about a product, the more we will sell!
Item ships from and is sold by Fishpond World Ltd.
Back to top