Validation and k-Nearest Neighbors Method

This lecture covers the concepts of supervised learning, including topics such as training error, empirical risk, generalization error, and population risk. It also introduces the k-Nearest Neighbors method for classification and regression tasks, explaining the importance of minimizing generalization error and the role of population risk in model evaluation.