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Lecture
Linear SVM derivation
Description
This lecture covers the derivation of Linear Support Vector Machine (SVM) starting from the classifier margin concept, computing the distance to the separating hyperplane, determining constraints, solving the constrained optimization problem, interpreting the solution, and discussing the dual optimization using the Karush-Kuhn-Tucker (KKT) conditions.
Instructor
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Official source
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