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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.
