MATH 543 - Multiple Regression and Machine Learning Methods
3 Credits Multiple regression and related machine learning methods including ridge regression, lasso, elasticnet, and neural networks. Classifaction methods: logistic regreassion and linear discriminant analysis. Unsupervised methods: principal components and clustering. Modern modelling methods including bootstrapping and cross-validation. Prerequisite material includes a course in statistics.