Breaking Bayesian Optimization into small, sizeable chunks.
Many modern machine learning algorithms have a large number of hyper-parameters. To effectively use these algorithms, we need to pick good hyper-parameter values. In this article, we talk about Bayesian Optimization, a suite of techniques often used to tune hyper-parameters. More generally, Bayesian Optimization can be used to optimize any black-box function.