Machine Learning: Theory & Applications
McGill University · QC · EDPE561
Machine Learning: Theory & Applications is a subject at McGill University, QC in EDPE. It covers topics like deep-learning, learning-theory, machine-learning, statistical-learning. It is part of 2 degrees. The information below is compiled from public course material — approximate, not official.
McGill University
EDPE561
3.00
EDPE
Topics covered
Degrees that include Machine Learning: Theory & Applications
- Educational Psychology (Non-Thesis) (M.Ed.): Learning Sciences (48 credits)
- Educational Psychology (Thesis) (M.A.): Learning Sciences (45 credits)
Frequently asked questions
What is Machine Learning: Theory & Applications about?
Machine Learning: Theory & Applications covers topics like deep-learning, learning-theory, machine-learning, statistical-learning.
Which degrees include Machine Learning: Theory & Applications?
Machine Learning: Theory & Applications is part of 2 degrees, including Educational Psychology (Non-Thesis) (M.Ed.): Learning Sciences (48 credits), Educational Psychology (Thesis) (M.A.): Learning Sciences (45 credits).
How many credit points is Machine Learning: Theory & Applications?
Machine Learning: Theory & Applications at McGill University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Machine Learning: Theory & Applications taught?
Machine Learning: Theory & Applications is taught at McGill University, QC.
Studying Machine Learning: Theory & Applications?
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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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