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. weiterlesen