English | 2023 | ISBN: 978-1633439078 | 220 pages | True PDF | 11.08 MB
Apply advanced techniques for optimizing machine learning processes.
Bayesian optimization helps pinpoint the best configuration for your machine learning models with speed and accuracy.
Bayesian Optimization in Action teaches you how to build Bayesian optimization systems from the ground up. This book transforms state-of-the-art research into usable techniques that you can easily put into practice, all fully illustrated with useful code samples.
Hone your understanding of Bayesian optimization through engaging examples—from forecasting the weather, to finding the optimal amount of sugar for coffee, and even deciding if someone is psychic! Along the way, you'll explore scenarios for when there are multiple objectives, when each decision has its own cost, and when feedback is in the form of pairwise comparisons. With this collection of techniques, you'll be ready to find the optimal solution for everything from transport and logistics to cancer treatments.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.