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Lecture
Logistic Regression: Classification
Description
This lecture covers the concepts of supervised and unsupervised learning, focusing on classification using logistic regression. It explains the ground truth, prediction, and estimation in regression models, as well as the nightmare for gradient descent in optimization. The lecture also delves into zero-one loss, least squares, and the challenges faced in logistic regression.
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