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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.
Syllabus
Machine Learning: Lecture 6b: Linear Models
Taught by
UofU Data Science