DATA 6400

This course emphasizes machine learning for sequential data processing. It covers common challenges and pre-processing techniques for sequential data such as text, biological sequences, and time series data. Students are exposed to machine learning techniques, including classical methods and more recent deep learning models, so that they obtain the background and skills needed to confront real-world applications of sequential data processing. May be offered in conjunction with CIS*6190. [Restriction(s): Credit may be obtained for only one of CIS*6190 or DATA*6400. Restricted to Master of Data Science students.] [Department(s): School of Computer Science]