Principles of Machine Learning (3 Credits)
University of Maryland, College Park ยท MD ยท MSML603
Principles of Machine Learning (3 Credits) is a subject at University of Maryland, College Park, MD. It covers topics like deep-learning, learning-theory, machine-learning, statistical-learning. It is part of 5 degrees. The information below is compiled from public course material โ approximate, not official.
University of Maryland, College Park
MSML603
3.00
Topics covered
Degrees that include Principles of Machine Learning (3 Credits)
- Applied Machine Learning (online) (SAMO)
- Applied Machine Learning (SAML)
- Artificial Intelligence (MSAI)
- Machine Learning (MPML)
- Machine Learning (online) (MPMO)
Frequently asked questions
What is Principles of Machine Learning (3 Credits) about?
Principles of Machine Learning (3 Credits) covers topics like deep-learning, learning-theory, machine-learning, statistical-learning.
Which degrees include Principles of Machine Learning (3 Credits)?
Principles of Machine Learning (3 Credits) is part of 5 degrees, including Applied Machine Learning (online) (SAMO), Applied Machine Learning (SAML), Artificial Intelligence (MSAI), Machine Learning (MPML), Machine Learning (online) (MPMO).
How many credit points is Principles of Machine Learning (3 Credits)?
Principles of Machine Learning (3 Credits) at University of Maryland, College Park is typically around 3.00 credit points. Approximate โ confirm with the university.
Where is Principles of Machine Learning (3 Credits) taught?
Principles of Machine Learning (3 Credits) is taught at University of Maryland, College Park, MD.
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Sources: University of Maryland, College Park public course catalogue. Information is compiled and summarised โ not copied verbatim โ and is approximate; always confirm with the original source.
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