Machine Learning for Economists
University of Waterloo · ON · ECON626
Machine Learning for Economists is a subject at University of Waterloo, ON in ECON. It covers topics like behavioural-economics, econometrics, machine-learning, mathematical-economics. It is part of 1 degree. The information below is compiled from public course material — approximate, not official.
University of Waterloo
ECON626
3.00
ECON
Topics covered
Degrees that include Machine Learning for Economists
Frequently asked questions
What is Machine Learning for Economists about?
Machine Learning for Economists covers topics like behavioural-economics, econometrics, machine-learning, mathematical-economics.
Which degrees include Machine Learning for Economists?
Machine Learning for Economists is part of 1 degree, including Graduate Diploma (GDip) in Computational Data Analytics for the Social Sciences and Humanities (Type 2).
How many credit points is Machine Learning for Economists?
Machine Learning for Economists at University of Waterloo is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Machine Learning for Economists taught?
Machine Learning for Economists is taught at University of Waterloo, ON.
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Sources: University of Waterloo public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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