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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 presents a simple mathematical model for supervised learning with k-nearest neighbors (kNN) in the context of regression. The instructor explains the assumptions, the distribution knowledge, and the process to find the best function that minimizes the error. Various concepts such as Bayes, risk minimization, and population are covered.