Lecture
This lecture covers the concept of Bayesian Parameter Estimation, focusing on cost functions, control objectives, and model selection. It delves into regularization techniques, feature selection, and Bayesian statistics, emphasizing the importance of minimizing expected costs and maximizing rewards.