Introduction to Machine Learning

1 Unit · Graduate

This course is for students doing advanced studies in statistics and certain other fields will provide an introduction to modern machine learning methods. Topics include supervised learning, sparsity, logistic regression, SVM, kernel methods, deep learning, unsupervised learning, and real world problems including fairness and interpretability of black box models. Not for data science majors/minors - students studying data science should take STAT 362 instead.