Hyperparameter Optimisation For Machine Learning

This article covers the concept of Bayesian optimization and its advantages over traditional hyperparameter optimization methods such as random search and grid search. It also discusses the importance of monitoring algorithms for decision making processes and how to measure how far an algorithm is from the state of the art standards.