{"product_id":"waic-and-wbic-with-python-stan-von-joe-suzuki","title":"WAIC and WBIC with Python Stan","description":"\n                                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.\n                \n                \u003cp\u003eThe key features of this indispensable book include:\u003c\/p\u003e\n                                \n                \u003cp\u003e\u003c\/p\u003e\n                                \n                \u003col\u003e\n                                        \n                    \u003cli\u003eA clear and self-contained writing style, ensuring ease of understanding for readers at various levels of expertise.\u003c\/li\u003e\n                                        \n                    \u003cli\u003e100 carefully selected exercises accompanied by solutions in the main text, enabling readers to effectively gauge their progress and comprehension.\u003c\/li\u003e\n                                        \n                    \u003cli\u003eA comprehensive guide to Sumio Watanabe’s groundbreaking Bayes theory, demystifying a subject once considered too challenging even for seasoned statisticians.\u003c\/li\u003e\n                                        \n                    \u003cli\u003eDetailed source programs and Stan codes that will enhance readers’ grasp of the mathematical concepts presented.\u003c\/li\u003e\n                                        \n                    \u003cli\u003eA streamlined approach to algebraic geometry topics in Chapter 6, making Bayes theory more accessible and less daunting.\u003c\/li\u003e\n                                    \n                \u003c\/ol\u003e\n                                \n                \u003cp\u003e\u003c\/p\u003e\n                                \n                \u003cp\u003eEmbark on your machine learning and data science journey with this essential textbook and unlock the full potential of WAIC and WBIC today!\u003c\/p\u003e\n                            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9789819938407\"\u003e\u003ch3\u003e100 Exercises for Building Logic\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9789819938407","offer_id":47443574096197,"sku":"9789819938407","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/b58fa05c-3b7a-4442-9f68-caf18af7bceb.jpg?v=1773989169","url":"https:\/\/shop.autorenwelt.de\/products\/waic-and-wbic-with-python-stan-von-joe-suzuki","provider":"Autorenwelt Shop","version":"1.0","type":"link"}