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Machine Learning: Lecture 25: Logistic regression
Description:
Learn about logistic regression classifiers through an in-depth lecture that explores learning techniques under maximum likelihood and maximum a posteriori criteria, while understanding how these classifiers fit within loss minimization frameworks. Delve into the mathematical foundations and practical applications of logistic regression in machine learning over 81 minutes of comprehensive instruction.

Logistic Regression - Machine Learning Lecture 25

UofU Data Science
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