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

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Covers the Perceptron algorithm and its application to binary classification problems, including the Pocket Perceptron algorithm.

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Linear Binary Classification

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Introduction to Learning by Stochastic Gradient Descent: Simple Perceptron

Covers the derivation of the stochastic gradient descent formula for a simple perceptron and explores the geometric interpretation of classification.

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Explores signed distance, perceptron, logistic regression, cross entropy, and multi-class classification.

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