Machine Learning Applied to Climate Change
McGill University · QC · COMP685
Machine Learning Applied to Climate Change is a subject at McGill University, QC in COMP. It covers topics like climate-change, machine-learning, predictive-analytics, statistical-learning. It is part of 2 degrees. The information below is compiled from public course material — approximate, not official.
McGill University
COMP685
3.00
COMP
Topics covered
Degrees that include Machine Learning Applied to Climate Change
- Computer Science (Thesis) (M.Sc.) (45 credits)
- Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (M.Eng.) (45 credits)
Frequently asked questions
What is Machine Learning Applied to Climate Change about?
Machine Learning Applied to Climate Change covers topics like climate-change, machine-learning, predictive-analytics, statistical-learning.
Which degrees include Machine Learning Applied to Climate Change?
Machine Learning Applied to Climate Change is part of 2 degrees, including Computer Science (Thesis) (M.Sc.) (45 credits), Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (M.Eng.) (45 credits).
How many credit points is Machine Learning Applied to Climate Change?
Machine Learning Applied to Climate Change at McGill University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Machine Learning Applied to Climate Change taught?
Machine Learning Applied to Climate Change is taught at McGill University, QC.
Studying Machine Learning Applied to Climate Change?
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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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