Joe Suzuki
WAIC and WBIC with Python Stan: 100 Exercises for Building Logic
WAIC and WBIC with Python Stan: 100 Exercises for Building Logic
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- More about WAIC and WBIC with Python Stan: 100 Exercises for Building Logic
This comprehensive textbook provides a clear and self-contained writing style, 100 exercises with solutions, and a comprehensive guide to Sumio Watanabes groundbreaking Bayes theory. It also includes detailed source programs and Stan codes to enhance readers' grasp of the mathematical concepts presented.
Format: Paperback / softback
Length: 242 pages
Publication date: 21 December 2023
Publisher: Springer Verlag, Singapore
Mastering machine learning and data science requires a deep understanding of mathematical logic, and this comprehensive textbook is the perfect guide. It focuses on the widely applicable information criterion (WAIC) and the widely applicable Bayesian information criterion (WBIC), also known as the Watanabe-Akaike and Watanabe Bayesian information criteria, respectively. The book expertly guides you through relevant mathematical problems while also providing hands-on experience with programming in Python 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.
Key Features:
Clear and Self-Contained Writing Style: The book's writing style is clear and self-contained, making it easy for readers at various levels of expertise to understand.
100 Carefully Selected Exercises Accompanied by Solutions in the Main Text: The book includes 100 carefully selected exercises accompanied by solutions in the main text, enabling readers to effectively gauge their progress and comprehension.
Comprehensive Guide to Sumio Watanabes Groundbreaking Bayes Theory: The book provides a comprehensive guide to Sumio Watanabes groundbreaking Bayes theory, demystifying a subject once considered too challenging even for seasoned statisticians.
Detailed Source Programs and Stan Codes: The book includes detailed source programs and Stan codes that will enhance readers' grasp of the mathematical concepts presented.
Streamlined Approach to Algebraic Geometry Topics in Chapter 6: Chapter 6 introduces algebraic geometry topics in a streamlined manner, making Bayes theory more accessible and less daunting.
Embark on Your Machine Learning and Data Science Journey with This Essential Textbook: Unlock the full potential of WAIC and WBIC today and embark on your machine learning and data science journey with this essential textbook.
Don't miss out on this opportunity to master the art of machine learning and data science with this comprehensive textbook. Get your copy today and start exploring the world of WAIC and WBIC!
Dimension: 235 x 155 (mm)
ISBN-13: 9789819938407
Edition number: 1st ed. 2023
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