You might also like

More about WAIC and WBIC with Python Stan

• Book details
• Synopsis
• Trending among others

You get 135 loyalty points

Book synopsis

Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook. Focusing on the Watanabe-Akaike Information Criterion (WAIC) and Watanabe Bayesian Information Criterion (WBIC), this 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.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!

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: WAIC and WBIC with Python Stan
• Subtitle: 100 Exercises for Building Logic
• Author: Joe Suzuki
• Language: English
• Binding: Paperback
• Number of pages: 256
• EAN: 9789819938407
• ID: 43438863
• Publisher: Springer, Berlin
• Weight: 362 g
• Dimensions: 235 × 155 mm
• Date of publishing: 10. November 2023

---

---

---