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Lecture
Linear Binary Classification: Perceptron, SGD, Fisher's LDA
Description
This lecture covers the Perceptron model, including the learning algorithm for separable and non-separable cases, Stochastic Gradient Descent, and Fisher's Linear Discriminant. It also discusses the convergence of algorithms, risk minimization, and generative classification.
Official source
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