How to Cook a Soup or Gentle Introduction to Bayesian Optimisation

Have you ever thought of creating something new through a series of experiments? Or do you maybe want to optimise hyperparameters for complex ML models? Are you thinking of tuning your company's algorithms to reach desired KPIs? Bayesian optimsation (BO) helps these and many other practical problems and we will talk about it during this talk. Starting from setting an optimisation problem for black-box expensive-to evaluate functions, we will discuss some popular approaches and come to the idea of Bayesian optimisation. We learn how to recognise problems benefiting from this approach, describe the main steps of Bayesian optimisation, and discuss the popular applications of this concept.