Mathematics for Machine Learning
Columbia University · NY · COMSW3770
Mathematics for Machine Learning is a subject at Columbia University, NY. It covers topics like computational-mathematics, machine-learning, mathematics, mathematics-education. It is part of 10 degrees. The information below is compiled from public course material — approximate, not official.
Columbia University
COMSW3770
3.00
Topics covered
Degrees that include Mathematics for Machine Learning
- Applied Mathematics (BS)
- Applied Mathematics (MS)
- Applied Mathematics (PhD, EngScD)
- Business Analytics (MS)
- Computer Science (MS)
- Management Science and Engineering (MS)
- Materials Science and Engineering (MS)
- Mechanical Engineering (MS)
- Operations Research (BS)
- Operations Research (MS)
Frequently asked questions
What is Mathematics for Machine Learning about?
Mathematics for Machine Learning covers topics like computational-mathematics, machine-learning, mathematics, mathematics-education.
Which degrees include Mathematics for Machine Learning?
Mathematics for Machine Learning is part of 10 degrees, including Applied Mathematics (BS), Applied Mathematics (MS), Applied Mathematics (PhD, EngScD), Business Analytics (MS), Computer Science (MS).
How many credit points is Mathematics for Machine Learning?
Mathematics for Machine Learning at Columbia University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Mathematics for Machine Learning taught?
Mathematics for Machine Learning is taught at Columbia University, NY.
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Sources: Columbia 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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