Statistical Learning For Big Dependent Data(1st Edition)

Authors:

Daniel Peña, Ruey S. Tsay

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

In Stock: 2 Left

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Book details

ISBN: 1119417384, 978-1119417385

Book publisher: Wiley

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Customer Reviews

Trusted feedback from verified buyers

KL
Kyle Lambert
3.0
This book was okay - good intro to complex topics but could use more real-world examples.
EP
Elena Pratt
4.0
As someone who works with data on a day-to-day basis, I found this book to be a great resource that strikes the right balance between theory and practice. The authors provide rich learning materials, although at times, I felt a little overwhelmed with the depth of information. Still, it’s well-organized, and the examples are very practical. It arrived on time, which is always a plus, and thanks to my membership, I ended up saving a few bucks too!
VM
Valerie Morton
5.0
Wow, this book is a gem! The authors have managed to simplify complex topics such as hierarchical models and spatial/temporal dependencies without dumbing them down. It is filled with clear explanations and engaging exercises. I used this book as part of my graduate course in statistical learning, and it was an invaluable resource. It also came well-packaged and arrived quickly, which is always a nice touch. Highly recommended for both students and professionals.
AA
Aaron Archer
5.0
This book blew me away with how well it tackled the complex topic of big dependent data. The authors did a phenomenal job breaking everything down into digestible sections. The examples provided are detailed yet easy to follow, making it easier to apply the concepts to real-world scenarios. Also, I appreciated the prompt delivery—arrived sooner than expected and in pristine condition. As a major plus, I got an extra discount with my subscription, making this a no-brainer purchase for anyone serious about statistical learning.