Introduction to Machine Learning

Lecture 1 (Introduction)     5 Mehr

Lecture 2 (Supervised Learning)     12 Mehr

Lecture 3,4 (Bayesian Decision Theory)     12 Mehr

Lecture 5 (Multivariate Methods)    

Lecture 6 ( Dimensionality Reduction)     

Lecture 7 (Clustering)

Lecture 8 (Nonparametric Methods)

Lecture 9 (Decision Trees)

Lecture 10 (logistic regression and softmax)

Lecture 11 (SVM)

Lecture 12 (ANN)

Lecture 13 (CNN)

Lecture 14 (RNN)