Model-Based Machine Learning, Hardback/***

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A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to real world problems. This book tackles this challenge through model-based machine learning, focusing on understanding the assumptions encoded in a machine learning system. Publisher: Taylor & Francis Inc Author(s): John (Microsoft Research Ltd., Cambridge, United Kingdom) Winn Illustration(s): 3 Tables, color; 27 Tables, black and white; 130 Line drawings, color; 74 Line drawings, black and white; 49 Halftones, color; 3 Halftones, black and white; 179 Illustrations, color; 77 Illustrations, black and white Number of pages: 455 Publication date: 2023 Dimensions: 161 x 243 x 29 Cover type: Hardback