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: MLP)

Lecture 9 (CNN)