Mathematical Foundations for Machine Learning II: Linear Algebra
University of Pennsylvania · PA · EAS5170
Mathematical Foundations for Machine Learning II: Linear Algebra is a subject at University of Pennsylvania, PA. It covers topics like computational-mathematics, linear-algebra, machine-learning, mathematical-economics. It is part of 2 degrees. The information below is compiled from public course material — approximate, not official.
University of Pennsylvania
EAS5170
3.00
Topics covered
Degrees that include Mathematical Foundations for Machine Learning II: Linear Algebra
Frequently asked questions
What is Mathematical Foundations for Machine Learning II: Linear Algebra about?
Mathematical Foundations for Machine Learning II: Linear Algebra covers topics like computational-mathematics, linear-algebra, machine-learning, mathematical-economics.
Which degrees include Mathematical Foundations for Machine Learning II: Linear Algebra?
Mathematical Foundations for Machine Learning II: Linear Algebra is part of 2 degrees, including Computer Science, MASCS, Data Science, MSE.
How many credit points is Mathematical Foundations for Machine Learning II: Linear Algebra?
Mathematical Foundations for Machine Learning II: Linear Algebra at University of Pennsylvania is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Mathematical Foundations for Machine Learning II: Linear Algebra taught?
Mathematical Foundations for Machine Learning II: Linear Algebra is taught at University of Pennsylvania, PA.
Studying Mathematical Foundations for Machine Learning II: Linear Algebra?
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Sources: University of Pennsylvania public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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