Take your machine learning models to the next level by learning how to leverage hyperparameter tuning, allowing you to control the model’s finest details Key Features Gain a deep understanding of how hyperparameter tuning works Explore exhaustive search, heuristic search, and Bayesian and multi-fidelity optimization methods Learn which method should be used to solve a specific situation or problem Book DescriptionHyperparameters are an important element in building useful machine learning models. This book curates numerous hyperparameter tuning methods for Python, one of the most popular...
Take your machine learning models to the next level by learning how to leverage hyperparameter tuning, allowing you to control the model’s finest de...
