Model-Based Machine Learning, Hardback

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