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Loss Minimization Revisited - Lecture 24a

UofU Data Science via YouTube

Overview

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Revisit the concept of loss minimization with a detailed examination of perceptron, hinge, and logistic losses in this 28-minute lecture from UofU Data Science. Gain deeper insights into these fundamental machine learning concepts that form the basis of classification algorithms. For additional resources and comprehensive explanations, explore the supplementary materials available on the instructor's website.

Syllabus

Lecture 24a: Loss minimization (revisited)

Taught by

UofU Data Science

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