Introduction to Machine Learning
University of Waterloo · ON · CS480
Introduction to Machine Learning is a subject at University of Waterloo, ON in CS. It covers topics like data-mining, deep-learning, machine-learning, statistical-learning. It is part of 14 degrees. The information below is compiled from public course material — approximate, not official.
University of Waterloo
CS480
3.00
CS
Topics covered
Degrees that include Introduction to Machine Learning
- Artificial Intelligence Option
- Artificial Intelligence Specialization
- Artificial Intelligence Specialization
- Cognitive Science Minor
- Computational Mathematics (Bachelor of Mathematics - Honours)
- Computational Mathematics Minor
- Computer Engineering (Bachelor of Applied Science - Honours)
- Data Science (Bachelor of Computer Science - Honours)
- Electrical Engineering (Bachelor of Applied Science - Honours)
- Human-Computer Interaction Specialization
- Human-Computer Interaction Specialization
- Management Science Option
- Software Engineering (Bachelor of Software Engineering - Honours)
- Software Engineering Specialization
Frequently asked questions
What is Introduction to Machine Learning about?
Introduction to Machine Learning covers topics like data-mining, deep-learning, machine-learning, statistical-learning.
Which degrees include Introduction to Machine Learning?
Introduction to Machine Learning is part of 14 degrees, including Artificial Intelligence Option, Artificial Intelligence Specialization, Artificial Intelligence Specialization, Cognitive Science Minor, Computational Mathematics (Bachelor of Mathematics - Honours).
How many credit points is Introduction to Machine Learning?
Introduction to Machine Learning at University of Waterloo is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Introduction to Machine Learning taught?
Introduction to Machine Learning is taught at University of Waterloo, ON.
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Sources: University of Waterloo public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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