Tag: Stan

Free Download WAIC and WBIC with Python Stan: 100 Exercises for Building Logic by Joe Suzuki
English | December 21, 2023 | ISBN: 9819938406 | 256 pages | MOBI | 54 Mb
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. 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.

Free Download Stan Lee and the Rise and Fall of the American Comic Book by Tom Spurgeon, Jordan Raphael
English | September 1, 2003 | ISBN: 1556525060, 1556525419 | True EPUB | 306 pages | 5.6 MB
Based on interviews with Stan Lee and dozens of his colleagues and contemporaries, as well as extensive archival research, this book provides a professional history, an appreciation, and a critical exploration of the face of Marvel Comics.

Free Download WAIC and WBIC with Python Stan: 100 Exercises for Building Logic by Joe Suzuki
English | PDF EPUB (True) | 2023 | 249 Pages | ISBN : 9819938406 | 48.3 MB
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. 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.