Master the art of machine learning and data science by diving into
the essence of mathematical logic with this comprehensive textbook.
This book focuses on the widely applicable information criterion
(WAIC), also described as the Watanabe-Akaike information
criterion, and the widely applicable Bayesian information criterion
(WBIC), also described as the Watanabe Bayesian information
criterion. This book expertly guides you through relevant
mathematical problems while also providing hands-on experience with
programming in R and Stan. Whether you’re a data scientist
looking to refine your model selection process or a researcher who
wants to explore the latest developments in Bayesian statistics,
this accessible guide will give you a firm grasp of Watanabe
Bayesian Theory.The key features of this indispensable book
include: A clear and self-contained writing style, ensuring ease of
understanding for readers at various levels of expertise. 100
carefully selected exercises accompanied by solutions in the main
text, enabling readers to effectively gauge their progress and
comprehension. A comprehensive guide to Sumio Watanabe’s
groundbreaking Bayes theory, demystifying a subject once considered
too challenging even for seasoned statisticians. Detailed source
programs and Stan codes that will enhance readers’ grasp of the
mathematical concepts presented. A streamlined approach to
algebraic geometry topics in Chapter 6, making Bayes theory more
accessible and less daunting. Embark on your machine learning and
data science journey with this essential textbook and unlock the
full potential of WAIC and WBIC today!
General
Imprint: |
Springer Verlag, Singapore
|
Country of origin: |
Singapore |
Release date: |
October 2023 |
Authors: |
Joe Suzuki
|
Dimensions: |
235 x 155mm (L x W) |
Edition: |
2023 ed. |
ISBN-13: |
978-981-9938-37-7 |
Categories: |
Books
|
LSN: |
981-9938-37-6 |
Barcode: |
9789819938377 |
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