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Linear Regression

If you ever had to fit a line to some data-points you quite possibly have come across linear regression and least squares. Most of the time (linear) regression is introduced as follows:

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Generative vs Discriminative Models

In this post we are going to explore the differences between generative and discriminative models. In many machine learning tasks we assume that the output \(y\) can be generate from some function \(f(x)\), which is dependant on the input. We assume that we can model this function \(f\) using the conditional probability \(P(y|x)\).

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