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
A solid introduction, but it's quite dense and could turn off those not deeply familiar with the subject.
PN
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
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
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!





























