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Related lectures (32)
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Support Vector Machines: SVMs
Explores Support Vector Machines, covering hard-margin, soft-margin, hinge loss, risks comparison, and the quadratic hinge loss.
Linear Models: Classification Basics
Explores linear models for classification, logistic regression, SVM, k-NN, and curse of dimensionality.
