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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| Main Author: |
Liu, Peng, |
| Other Authors: |
SpringerLink (Online service) |
| Format: |
eBook
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| Language: |
English
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| Published: |
New York, NY :
Apress,
2023.
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| Physical Description: |
1 online resource (xv, 234 pages) : illustrations (black and white, and colour)
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| Subjects: |
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