Machine Learning Fundamentals: Structure Discovery, Classification, Regression

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.