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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 random features in neural networks, focusing on regression with non-polynomial features extracted from PDFs. It explains the equivalence between kernel regression and neural network terminology, emphasizing the use of random features to approximate kernel functions.