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Model-Based Machine Learning

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ISBN-10:

1498756816

ISBN-13:

9781498756815

Author(s): Winn, John
Edition: 1
Released: Oct 26, 2023
Publisher: Chapman and Hall/CRC
Format: Hardcover, 455 pages
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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.

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