Introductory Applied Machine Learning (Semester 2)
University of Edinburgh · Scotland · INFR11205
Introductory Applied Machine Learning (Semester 2) is a subject at University of Edinburgh, Scotland. It covers topics like applied-mathematics, applied-statistics, machine-learning, statistical-learning. It is part of 3 degrees. The information below is compiled from public course material — approximate, not official.
University of Edinburgh
INFR11205
3.00
Topics covered
Degrees that include Introductory Applied Machine Learning (Semester 2)
- Advanced Technology for Financial Computing (MSc) - 1 Year (Full-Time)
- Finance, Technology and Policy (MSc) - 1 Year (Full-time)
- Informatics: ANC: Machine Learning, Computational Neuroscience, Computational Biology (PhD) (Full-time)
Frequently asked questions
What is Introductory Applied Machine Learning (Semester 2) about?
Introductory Applied Machine Learning (Semester 2) covers topics like applied-mathematics, applied-statistics, machine-learning, statistical-learning.
Which degrees include Introductory Applied Machine Learning (Semester 2)?
Introductory Applied Machine Learning (Semester 2) is part of 3 degrees, including Advanced Technology for Financial Computing (MSc) - 1 Year (Full-Time), Finance, Technology and Policy (MSc) - 1 Year (Full-time), Informatics: ANC: Machine Learning, Computational Neuroscience, Computational Biology (PhD) (Full-time).
How many credit points is Introductory Applied Machine Learning (Semester 2)?
Introductory Applied Machine Learning (Semester 2) at University of Edinburgh is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Introductory Applied Machine Learning (Semester 2) taught?
Introductory Applied Machine Learning (Semester 2) is taught at University of Edinburgh, Scotland.
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Sources: University of Edinburgh public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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