Bayesian Optimization Theory And Practice Using Python
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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 Approaches To Global Optimization.the Book Begins By Introducing Different Bayesian Optimization (bo) Techniques, Covering Both Commonly Tools And Advanced Topics. It Follows A Develop From Scratch Method Using Python, And Gradually Builds Up To More Advanced Libraries Such As Botorch, An Open-source Project Introduced By Facebook Recently.
- 品牌: Springer Nature B.V
- 类别: 计算机与互联网
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语言: English
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作者: Peng Liu
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出版日期: 2023-03-24
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页数: 252
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出版社／标签: Springer Nature B.V
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格式: Paperback
- Fruugo ID: 557073360-1125342272
- ISBN: 9781484290620
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