Hyperparameter Optimization in Machine Learning

Covers state-of-the-art techniques for hyperparameter tuning Covers implementation of advanced Bayesian optimization techniques on machine learning algorithms to complex deep learning frameworks Explains distributed optimization of hyperparameters, which increases the time efficiency of the model significantly