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Linear Classification and Loss Functions - Lecture 25

UofU Data Science via YouTube

Overview

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Learn about fundamental concepts in classification through an in-depth lecture covering linear classifiers and the process of defining loss functions. Explore key principles and methodologies used in data classification, with detailed explanations of how to construct effective linear classifiers and develop appropriate loss functions for various classification tasks.

Syllabus

FoDA F22 Lecture 25

Taught by

UofU Data Science

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