Learn about linear classifiers in this 33-minute lecture that introduces fundamental concepts and geometric interpretations of linear models, setting the foundation for understanding the most widely-used classification method in machine learning. Explore the mathematical definition and geometric properties of linear classifiers, preparing for subsequent discussions on various learning algorithms within this hypothesis class.