Bayesian Optimization, Machine Learning, AI, Hyperparameter Tuning.
automates the process, doing so by randomly sampling parameter values for evaluation. Model-based search: By combining automation and feedback, this approach adjusts hyperparameter values based on previous trial results. Random search usually outperforms grid search in quickly finding the best