Foundations and Applications of Machine Learning
University of Ottawa ยท ON ยท SYS5185
Foundations and Applications of Machine Learning is a subject at University of Ottawa, ON. It covers topics like deep-learning, machine-learning, software-fundamentals, statistical-learning. It is part of 6 degrees. The information below is compiled from public course material โ approximate, not official.
University of Ottawa
SYS5185
3.00
Topics covered
Degrees that include Foundations and Applications of Machine Learning
- Master of Applied Science Electrical and Computer Engineering
- Master of Applied Science in Systems Engineering
- Master of Computer Science
- Master of Engineering Electrical and Computer Engineering
- Master of Engineering in Systems Engineering
- Master of Interdisciplinary Artificial Intelligence (Online)
Frequently asked questions
What is Foundations and Applications of Machine Learning about?
Foundations and Applications of Machine Learning covers topics like deep-learning, machine-learning, software-fundamentals, statistical-learning.
Which degrees include Foundations and Applications of Machine Learning?
Foundations and Applications of Machine Learning is part of 6 degrees, including Master of Applied Science Electrical and Computer Engineering, Master of Applied Science in Systems Engineering, Master of Computer Science, Master of Engineering Electrical and Computer Engineering, Master of Engineering in Systems Engineering.
How many credit points is Foundations and Applications of Machine Learning?
Foundations and Applications of Machine Learning at University of Ottawa is typically around 3.00 credit points. Approximate โ confirm with the university.
Where is Foundations and Applications of Machine Learning taught?
Foundations and Applications of Machine Learning is taught at University of Ottawa, ON.
Studying Foundations and Applications of Machine Learning?
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Sources: University of Ottawa public course catalogue. Information is compiled and summarised โ not copied verbatim โ and is approximate; always confirm with the original source.
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