2 Linear Regression, Classification and Gradient Descent (MLVU2020) @riskone1

Uploaded February 2020 | Updated September 2026, 5 days ago

slides: mlvu.github.io/lectures/12.LinearModels1.annotated.pdf
course materials: mlvu.github.io

In this lecture, we discuss the linear models: the basis on which we will build a lot of the more complex machine learning to come. We discuss how to define a linear model for classification and for regression, and we discuss different methods of searching for a good model: random search, simulated annealing, evolutionary methods and finally gradient descent.

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