Bayesian Optimization in Action (MEAP V07)
English | 2022 | ISBN: 9781633439078 | 380 Pages | PDF EPUB | 27 MB
Bayesian Optimization in Action shows you how to optimize hyperparameter tuning, A/B testing, and other aspects of the machine learning process by applying cutting-edge Bayesian techniques. Using clear language, illustrations, and concrete examples, this book proves that Bayesian optimization doesn't have to be difficult! You'll get in-depth insights into how Bayesian optimization works and learn how to implement it with cutting edge Python libraries. The book's easy-to-reuse code samples let you hit the ground running by plugging them straight into your own projects.
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