Unlock: Support Vector Machines
Maximum-margin classifiers via convex optimization: hard margin, soft margin with slack variables, hinge loss, the dual formulation, and the kernel trick.
72 Prerequisites0 Mastered0 Working66 Gaps
Prerequisite mastery8%
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Order Statistics is your weakest prerequisite with available questions. You haven't been assessed on this topic yet.
Support Vector MachinesTARGET
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Convex DualityCore
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Convex Optimization BasicsFoundations
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Logistic RegressionFoundations
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Loss FunctionsFoundations
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PerceptronFoundations
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