Scott Clark Using Bayesian Optimization to Tune Machine Learning Models MLconf SF 2016

Presentation slides: Using Bayesian Optimization to Tune Machine Learning Models: In this talk we briefly introduce Bayesian Global Optimization as an efficient way to optimize machine learning model parameters, especially when evaluating different parameters is timeconsuming or expensive. We will motivate the problem and give example applications. We will also talk about our development of a robust benchmark