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Logistic Regression - Machine Learning Lecture 24

UofU Data Science via YouTube

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

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