Master AI and Machine Learning: From Neural Networks to Applications
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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.
Syllabus
Machine Learning: Lecture 25: Logistic regression
Taught by
UofU Data Science