Computer Science 791TS - S-Machine Learning&Time Series

This seminar will focus on models and algorithms for supervised and unsupervised machine learning with time series. Topics will include discrete and continuous time models from machine learning, statistics and econometrics. We will investigate a variety of time series problems including prediction, detection, clustering, and similarity search. Coursework for the one credit option will include paper presentations and quizzes. Students in the three credit option will also complete a course project.

PreReq: CMPSCI 689or691GM w/B+ IMPORTANT NOTE:
Enroll in Lecture A to take this course for 3 credits.
Enroll in Lecture B to take this course for 1 credit.