Overview
Explore the fundamentals of logistic regression classification in this 43-minute lecture, examining the essential techniques for learning classifiers through maximum likelihood and maximum a posteriori criteria. Gain practical insights into implementing these statistical methods for binary classification problems while understanding the underlying mathematical principles that drive logistic regression models.
Syllabus
Machine Learning: Lecture 24b: Logistic regression
Taught by
UofU Data Science