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Support Vector Machines: Maximum Margin, Kernels, and Scalable ML System Design
A practical and interview-focused guide to Support Vector Machines covering maximum-margin classification, support vectors, hard and soft margins, hinge loss, kernels, RBF, gamma, primal vs dual optimization, SVR, online learning, and production system design.
Deepak Mishra28 min read
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