Theory of Machine Learning
McGill University · QC · MATH562
Theory of Machine Learning is a subject at McGill University, QC in MATH. It covers topics like deep-learning, learning-theory, machine-learning, statistical-learning. It is part of 3 degrees. The information below is compiled from public course material — approximate, not official.
McGill University
MATH562
3.00
MATH
Topics covered
Degrees that include Theory of Machine Learning
- Statistics Honours (B.A.) (63 credits)
- Statistics Honours (B.Sc.) (63 credits)
- Statistics Minor (B.Sc.) (27 credits)
Frequently asked questions
What is Theory of Machine Learning about?
Theory of Machine Learning covers topics like deep-learning, learning-theory, machine-learning, statistical-learning.
Which degrees include Theory of Machine Learning?
Theory of Machine Learning is part of 3 degrees, including Statistics Honours (B.A.) (63 credits), Statistics Honours (B.Sc.) (63 credits), Statistics Minor (B.Sc.) (27 credits).
How many credit points is Theory of Machine Learning?
Theory of Machine Learning at McGill University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Theory of Machine Learning taught?
Theory of Machine Learning is taught at McGill University, QC.
Studying Theory of Machine Learning?
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Sources: McGill University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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