Lecture 1 (Introduction)    

Lecture 2 (Supervised Learning)    

Lecture 3 (Bayesian Decision Theory)    

Lecture 4 (Multivariate Methods)

Lecture 5 ( Dimensionality Reduction)

Lecture 6 (logistic regression and softmax)

Lecture 7 (SVM)

Lecture 8 (ANN: percpetron, MLP and backpropagation)

Lecture 9 (CNN)