Linear Binary Classification: Perceptron, SGD, Fisher's LDA

In course

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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

https://mediaspace.epfl.ch/media/0_fgk2hw5a

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Ontological neighbourhood

Information engineering

Machine learning: Topics in machine learning

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