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Learn about the continuation of linear regression concepts in this 32-minute lecture, covering key topics like overfitting, gradient descent, and plotting techniques. Explore practical applications through in-person questions and discussions while diving deeper into least mean square regression methodology. Access supplementary materials and detailed explanations to enhance understanding of these fundamental machine learning concepts.
Syllabus
Intro
Announcements
Questions
Plotting
Inperson question
Overfitting
Gradient Descent
Taught by
UofU Data Science