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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Bibliographic Details
Main Author:	Liu, Peng (Author)
Format:	eBook
Language:	English
Published:	New York, NY : Apress, 2023.
Subjects:	Bayesian statistical decision theory > Data processing. Python (Computer program language) Mathematical optimization.
Online Access:	Connect to the full text of this electronic book

Description
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.
Item Description:	Includes index.
Physical Description:	1 online resource (xv, 234 pages) : illustrations (black and white, and colour).
ISBN:	9781484290637 1484290631