Linear Regression: Basics and Applications

This lecture covers the fundamentals of linear regression, starting with a recap on machine learning concepts and data representation. It then delves into the training process, model evaluation, and interpretation. Real-world examples, such as predicting wine quality and author age from text, are discussed. The lecture concludes with multi-output linear regression and its applications in tasks like face completion.