Model-Based Machine Learning  book cover
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Model-Based Machine Learning



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ISBN 9781498756815
December 31, 2021 Forthcoming by Chapman and Hall/CRC
400 Pages

 
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Book Description

This book is unusual for a machine learning text book in that the authors do not review dozens of different algorithms. Instead they introduce all of the key ideas 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 therefore introduces one case study which is drawn from a real-world application that has been solved using a model-based approach.

Table of Contents

How Can Machine Learning Solve My Problem? A Murder Mystery. Assessing People's Skills. Meeting your Match. Uncluttering your Inbox. Recommender Case Study. Medical Case Study. Interlude: Probabilistic Programming. Crowdsourcing Case Study. Other People's Models.

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