Explore the logistic regression classifier in this 48-minute lecture from UofU Data Science. Learn how this classifier can be trained using maximum likelihood and maximum a posteriori criteria, and understand its place within the framework of learning through loss minimization. For additional resources and materials, visit the lecture's dedicated webpage with comprehensive notes and references.
Overview
Syllabus
Lecture 23b: Logistic regression
Taught by
UofU Data Science
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