Machine Learning for Sequential Data Processing (DATA*6400)
Code and section: DATA*6400*01
Term: Winter
Details
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.
Department(s): School of Computer Science
Syllabus
Attachment | Size |
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Course Outline (Winter 2022) | 152.4 KB |