Course Detail
Units:
0.0
Course Components:
Lecture
Enrollment Information
Course Attribute:
University Connected Learning
Description
Machine learning is concerned with algorithms that improve their performance as more data is accumulated. This course covers a range of topics in supervised and unsupervised learning, as well as relevant aspects in estimation and generalizability. Specific topics include dimension reduction, clustering, density estimation, point and variance estimation, variable selection and regularization, accuracy assessment, classification, and ensemble methods.