Bayesian optimization theory and practice using Python
This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine learning models and learn sample-efficient approach...
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Apress
2023
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Subjects: | |
Online Access: | |
Collection: | O'Reilly - Collection details see MPG.ReNa |
Summary: | This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine learning models and learn sample-efficient approaches to global optimization |
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Item Description: | Includes index |
Physical Description: | xv, 234 pages illustrations (black and white, and colour) |
ISBN: | 1484290631 |