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Bayesian Optimization: Theory and Practice Using Python
Paperback
General ComputersProbability & StatisticsProgramming
Publisher Price: $59.99
ISBN13: 9781484290620
Publisher: Apress
Published: Mar 24 2023
Pages: 234
Weight: 0.98
Height: 0.53 Width: 7.00 Depth: 10.00
Language: English
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.
After completingthis book, you will have a firm grasp of Bayesian optimization techniques, which you'll be able to put into practice in your own machine learning models.
What You Will Learn
- Apply Bayesian Optimization to build better machine learning models
- Understand and research existing and new Bayesian Optimization techniques
- Leverage high-performance libraries such as BoTorch, which offer you the ability to dig into and edit the inner working
- Dig into the inner workings of common optimization algorithms used to guide the search process in Bayesian optimization
Who This Book Is ForBeginner to intermediate level professionals in machine learning, analytics or other roles relevant in data science.
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