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Support Vector Machines: Theory and Applications - Lecture 21

UofU Data Science via YouTube

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Learn advanced concepts of Support Vector Machines (SVMs) in this 57-minute lecture that builds upon foundational SVM principles, diving deeper into their mathematical framework and practical applications in machine learning classification problems.

Syllabus

Machine learning: Lecture 21a: SVMs (continued)

Taught by

UofU Data Science

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