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Topics in Econometrics and Machine Learning

Cornell University · NY · ECON7245-

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Topics in Econometrics and Machine Learning is a subject at Cornell University, NY. It covers topics like econometrics, machine-learning, mathematical-economics, quantitative-economics. It is part of 1 degree. The information below is compiled from public course material — approximate, not official.

University
Cornell University
Code
ECON7245-
Credit points
3.00

Topics covered

econometricsmachine-learningmathematical-economicsquantitative-economics

Degrees that include Topics in Econometrics and Machine Learning

Frequently asked questions

What is Topics in Econometrics and Machine Learning about?

Topics in Econometrics and Machine Learning covers topics like econometrics, machine-learning, mathematical-economics, quantitative-economics.

Which degrees include Topics in Econometrics and Machine Learning?

Topics in Econometrics and Machine Learning is part of 1 degree, including Information Science (PhD).

How many credit points is Topics in Econometrics and Machine Learning?

Topics in Econometrics and Machine Learning at Cornell University is typically around 3.00 credit points. Approximate — confirm with the university.

Where is Topics in Econometrics and Machine Learning taught?

Topics in Econometrics and Machine Learning is taught at Cornell University, NY.

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Sources: Cornell University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.

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