Lectures

Lectures 1: Introduction to machine learning and data mining. PDF

Lectures 2: The Singular Value Decomposition (SVD) PDF

Lectures 3: The SVD, LSI and PCA PDF

Lectures 4: Linear supervised learning. PDF

Lectures 5,6,7: Probability, regularization, maximum likelihood and Bayesian learning. PDF

Lectures 8: Gaussian processes. PDF

Lectures 9: Unsupervised learning. PDF