Lecture Materials:

Outline: (PDF)

Lecture Slides:

Bayesian--Book: All lectures; All code; day2: code1, code2, lec1, lec2, lec3, lec4, lec5, Gibb sampling; Hypothesis testing 1, 2, code, Hierarchical Models

Machine Learning-- Basic ML, Basic ML-2, Basic modeling, Missing value& Outlier analysis, Model Selection,lda qda and logistic, subsampling, logistic regression, ridge and lasso, regression tree, CART, bagging, random forest, boosting, anemia_data, svm, heart_tidy.csv