Definition
A global optimization strategy that efficiently finds the optimal hyperparameters for a machine learning model by constructing a probabilistic model of the objective function.
In short: A global optimization strategy that efficiently finds the optimal hyperparameters for a machine learning model by constructing a probabilistic model of the objective function.