Linear Regression: Basics and Applications

This lecture introduces the fundamentals of linear regression, a model that establishes a linear relationship between inputs and outputs. It covers the concepts of simple and multiple linear regression, the regression function, and the goals of regression in prediction and interpretation. The instructor discusses the importance of understanding correlation versus causation in regression analysis and provides examples of regression applications in various fields. The lecture also touches on the learning process, parameter estimation, and optimization algorithms used in fitting the regression model.