Bayesian Optimization - Math and Algorithm Explained

Learn the algorithmic behind Bayesian optimization, Surrogate Function calculations and Acquisition Function (Upper Confidence Bound). Visualize a scratch implementation on how the approximation works iteratively. Finally, understand how to use scikit-optimize package todo hyperparameter tuning using bayesian optimization. My AI and Generative AI Courses are details here: https://ai.generativeminds.co To get a FREE invite to our classes, fill below link: https://invite.generativeminds.co