Machine Learning Fundamentals: Structure Discovery, Classification, Regression

Description

This lecture covers fundamental machine learning concepts such as Structure Discovery through PCA and Clustering, Classification using Bayes Rule, k-NN, and SVM, and Regression with Ordinary Least Squares and SVR. It also delves into model evaluation techniques and exam preparation details.

Official source

https://mediaspace.epfl.ch/media/0_1c7j9h1y

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