Machine Learning 37: Support Vector Machines - Convex Optimization
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YouTubeKasper Green Larsen
Machine Learning 37: Support Vector Machines - Convex Optimization
We introduce basic techniques for convex optimization in order to solve the support vector machines optimization problem. This includes introducing the generalized Lagrangian and the primal and dual optimization problem. Finally, we introduce the Karush-Kuhn-Tucker conditions for convex optimization.
2.1K viewsOct 22, 2022
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