Statistical Learning with Sparsity: The Lasso and Generalizations

By Robert Tibshirani, Martin Wainwright, Trevor Hastie

Book Overview

In this age of big data, the number of features measured on a person or object can be large and might be larger than the number of observations. This book shows how the sparsity assumption allows us to tackle these problems and extract useful and reproducible patterns from big datasets. The authors cover the lasso for linear regression, generali

• Format: Paperback
• Language: English
• ISBN: 0367738333
• ISBN13: 9780367738334
• Release Date: December 2020
• Publisher: CRC Press
• Length: 368 Pages
• Weight: 1.63 lbs.
• Dimensions: 0.7" x 6.1" x 9.1"