Machine Learning for Sequential Data Processing (DATA*6400)

Code and section: DATA*6400*01

Term: Winter


DATA*6400  Machine Learning for Sequential Data Processing  Unspecified  [0.50]  

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.  
Department(s): School of Computer Science  


PDF icon Course Outline (Winter 2022)152.4 KB