Introduction to Statistical Learning

1 Unit · Graduate

This course covers major statistical learning methods and application to modern problems in science, industry and society. Major topics include multiple linear regression, classification, resampling methods, model selection and regularization, non-linear models, tree methods, support vector machines, and unsupervised learning.