Parametric Regressions: Linear Regression

This lecture covers the concepts of parametric regressions, focusing on linear regression. It explains the simplicity and easy interpretation of linear regression, the analytical form of parametric regression functions, and the complexity trade-off between parametric and non-parametric models. The lecture also discusses supervised learning of parametric models, decision functions, errors in parametric models, and maximum likelihood estimation in linear regression.