{"product_id":"model-based-machine-learning-hardcover","title":"Model-Based Machine Learning - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJohn Winn\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eToday, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to a concrete, real world problem. This book tackles this challenge through \u003cb\u003emodel-based machine learning \u003c\/b\u003ewhich focuses on understanding the assumptions encoded in a machine learning system and their corresponding impact on the behaviour of the system.\u003c\/p\u003e\u003cp\u003eThe key ideas of model-based machine learning are introduced through a series of case studies involving real-world applications. Case studies play a central role because it is only in the context of applications that it makes sense to discuss modelling assumptions. Each chapter introduces one case study and works through step-by-step to solve it using a model-based approach. The aim is not just to explain machine learning methods, but also showcase how to create, debug, and evolve them to solve a problem.\u003c\/p\u003e\u003cp\u003eFeatures: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eExplores the assumptions being made by machine learning systems and the effect these assumptions have when the system is applied to concrete problems.\u003c\/li\u003e \u003cli\u003eExplains machine learning concepts as they arise in real-world case studies.\u003c\/li\u003e \u003cli\u003eShows how to diagnose, understand and address problems with machine learning systems.\u003c\/li\u003e \u003cli\u003eFull source code available, allowing models and results to be reproduced and explored.\u003c\/li\u003e \u003cli\u003eIncludes optional deep-dive sections with more mathematical details on inference algorithms for the interested reader.\u003c\/li\u003e \u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJohn Winn \u003c\/b\u003eis a Principal Researcher at Microsoft Research, UK.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 455\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1 x 9.3 x 6.3 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 26, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52547049521426,"sku":"9781498756815","price":163.6,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/V6jdHhqU5v9781498756815.webp?v=1785006647","url":"https:\/\/ckbookstore.net\/products\/model-based-machine-learning-hardcover","provider":"CK BOOKSTORE","version":"1.0","type":"link"}