Statistical Learning For Big Dependent Data(1st Edition)
Authors:
Daniel Peña, Ruey S. Tsay
Type:Hardcover/ PaperBack / Loose Leaf
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In Stock: 2 Left
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Book details
ISBN: 1119417384, 978-1119417385
Book publisher: Wiley
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Customer Reviews
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KL
This book was okay - good intro to complex topics but could use more real-world examples.
EP
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
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
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.






























