Lecture 2.2: Linear models for classification
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Lecture 2.2: Linear models for classification
In this lecture we will learn how to build linear classification models. We focus on Logistic Regression, Support Vector Machines, and variants of these, encounter the simplest possible neural network (the Perceptron), and discuss how to do multi-class classification with binary models. Slides and notebooks: https://ml-course.github.io/master/
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