Bayesian Optimization, Machine Learning, AI, Hyperparameter Tuning.
should be evaluated next. It strikes a balance between exploring new areas with high uncertainty and exploiting areas known to offer promising results. Bayesian optimization iteratively selects the next points to evaluate by optimizing the acquisition function, assesses the objective function at