Using Bayesian Optimization to Tune Machine Learning Models

The presentation below, “Using Bayesian Optimization to Tune Machine Learning Models” by Scott Clark of SigOpt is from MLconf. The talk briefly introduces Bayesian Global Optimizationas an efficient way to optimize machine learning model parameters, especially when evaluating different parameters is time-consuming or expensive.

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