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Bayesian Optimization

Theory and Practice Using Python

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  • 252 pages
  • 9 hours of reading

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Focusing on Bayesian optimization techniques, this book offers a clear and illustrated guide to essential theories and their practical applications. Readers will learn how to effectively tune hyperparameters in machine learning models and explore sample-efficient strategies for global optimization, making it a valuable resource for enhancing model performance.

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Bayesian Optimization, Peng Liu

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Released
2023
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