Mathematical Techniques & Machine Learning
University of York ยท England ยท PHY00059I
Mathematical Techniques & Machine Learning is a subject at University of York, England. It covers topics like applied-mathematics, computational-mathematics, machine-learning, mathematical-economics. It is part of 14 degrees. The information below is compiled from public course material โ approximate, not official.
University of York
PHY00059I
3.00
Topics covered
Degrees that include Mathematical Techniques & Machine Learning
- Mathematics
- Physics
- Physics
- Physics (with a Foundation Year)
- Physics (with a year abroad)
- Physics (with a year abroad)
- Physics (with a year in industry)
- Physics (with a year in industry)
- Theoretical Physics
- Theoretical Physics
- Theoretical Physics (with a year abroad)
- Theoretical Physics (with a year abroad)
- Theoretical Physics (with a year in industry)
- Theoretical Physics (with a year in industry)
Frequently asked questions
What is Mathematical Techniques & Machine Learning about?
Mathematical Techniques & Machine Learning covers topics like applied-mathematics, computational-mathematics, machine-learning, mathematical-economics.
Which degrees include Mathematical Techniques & Machine Learning?
Mathematical Techniques & Machine Learning is part of 14 degrees, including Mathematics, Physics, Physics, Physics (with a Foundation Year), Physics (with a year abroad).
How many credit points is Mathematical Techniques & Machine Learning?
Mathematical Techniques & Machine Learning at University of York is typically around 3.00 credit points. Approximate โ confirm with the university.
Where is Mathematical Techniques & Machine Learning taught?
Mathematical Techniques & Machine Learning is taught at University of York, England.
Studying Mathematical Techniques & Machine Learning?
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Sources: University of York 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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