Bayesian Optimization in Action teaches you how to build Bayesian Optimisation 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.

You will hone your understanding of Bayesian Optimisation 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 will explore scenarios with 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 will be ready to find the optimal solution for everything -- from transport and logistics to cancer treatments.

For machine learning practitioners who are confident in math and statistics.