Bayesian optimization

modeling contexts, the XGBoost algorithm reigns supreme. It provides performance and efficiency gains over other tree-based methods and other boosting implementations. The XGBoost algorithm features a laundry list of hyperparameters, although often only...

to tune hyperparamters of deep learning models (Keras Sequential model), compared with a conventional approach — Grid Search. Bayesian Optimization Bayesian Optimization is a sequential design strategy for global optimization of black-box functions. It is especially well-suited for...

Each time you easily drive from point A to point B, you...