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.