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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the concept of logistic regression, focusing on different cost functions like quadratic and absolute costs, the gradient descent algorithm, and the choice of steplength. It also explains the use of the logistic sigmoid function for probability modeling and the cross entropy cost function for optimization.