John Winn

Model-Based Machine Learning (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 468
• Erscheinungstermin: 27. Oktober 2023
• Englisch
• ISBN-13: 9781498756976
• Artikelnr.: 69042040

Autorenporträt

John Winn is a Principal Researcher at Microsoft Research, UK.

Inhaltsangabe

Introduction. How Can Machine Learning Solve my Problem? 1. A Murder
Mystery 2. Assessing People's Skills Interlude. The Machine Learning Life
Cycle 3. Meeting Your Match 4. Uncluttering Your Inbox 5. Making
Recommendations 6. Understanding Asthma 7. Harnessing the Crowd 8. How to
Read a Model Afterword