Statistical Learning With Sparsity(1st Edition)

Authors:

Trevor Hastie, Robert Tibshirani, Martin Wainwright

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 2 Left

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Book details

ISBN: 0367738333, 978-0367738334

Book publisher: Routledge

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Customer Reviews

Trusted feedback from verified buyers

JN
James Newman
3.0
A solid introduction, but it's quite dense and could turn off those not deeply familiar with the subject.
PN
Phillip Newman
5.0
For those familiar with statistical mechanics, this book excels in delivering intricate topics with clarity. Sparse methods are now crucial in modern data science, and this text provides a thorough understanding. Delivery was swift, and the package was secure. It's a must-have for any statistician's library!
CF
Clark Foster
5.0
This book is an outstanding resource for anyone wanting to delve deep into sparse modeling techniques. The authors have done a fantastic job including both illustrative examples and theoretical backgrounds. I especially appreciated the chapters on Lasso and Elastic Net. As a member, I was able to apply an additional discount, which was a nice bonus. It arrived promptly and in perfect condition. Couldn't be happier with my purchase!
ET
Emily Turner
4.0
The book was very helpful in bridging the gap between theory and practical applications. It provides a nice balance, which I think is essential for applied learning. Some sections could have used more examples, but overall, it's well-structured. I utilized my membership to save some money, which is always a plus. However, there was a slight delay in delivery, but it was worth the wait!