Mata kuliah ini membahas beberapa tehnik dalam pembelajaran mesin statistika, mencakup Supervised Regression (Linear Regression, Variable Selection, Lasso, Model Assessment and Tuning Parameter, Non Linear Regression: Splines and Local Regression, Regression Tree, Ensemble (Random Forest, Gradient Boosting), Neural Network); Supervised Classification (Logistic Regression, k-NN, Discriminant, Classification Tree (CART, CHAID, C5.0), Naive Bayes Classifier, Support Vector Machine); Unsupervised Classification (PCA, Clustering); dan Association Rule.