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ECON 81230: Machine Learning for Econmists at Graduate Center

3 credits · Fall 2026

Machine Learning for Econmists (ECON 81230) at Graduate Center has 1 way to take it in Fall 2026. 0 of 1 section have an open seat right now.

The professor is: Lilia Maliar.

Compare them below, check the days and times, and add the course to your schedule.

Requirements

Class is open to either ECON or BUS Majors

About this course

Recent developments in artificial intelligence and constantly growing computationalpower provide economists with unprecedented capacities for the data analysis. This course provides a broad overview of numerical methods at the intersection ofmathematics, statistics and computer science that constitute the workhorse of themodern data analytics. In particular, the course provides an introduction to machinelearning, deep learning, reinforcement learning, parallel computing and big datamethods, as well as data manipulation, visualization, presentation and interpretation techniques. The studied applications are not limited to conventional econometric regressions models but contain some prominent examples from computer science,such as recognition of handwritten numbers. The course also introduces students to programming in Python with the emphasis on economic applications.

Professors for ECON 81230 at Graduate Center, Fall 2026

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ECON 81230 sections, times and seats

Seat status as of Oct 4, 7:46 PM ET. Seats can change between refreshes. How fresh is this?

Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means

01-LEC Regular
Tue · 2:00 PM - 4:00 PM
GradCenter 5383
Lilia MaliarOnly 1 rating, too few to rank★ 2.0(1)Difficulty 2.0/5 · 0% would take again
In PersonClosed

Questions about ECON 81230 at Graduate Center

Who teaches ECON 81230 at Graduate Center in Fall 2026?
Lilia Maliar is listed for Fall 2026. Each name links to a page with their Chill Rank and Rate My Professors numbers.
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