Advanced regression and classification methods applied to economic research questions; consideration of linear, graphical, kernel and neural network methods; emphasis on Bayesian methods for research design; consideration of broader social and distributional implications of the use of these methods. Upper level elective. Prerequisites: 01:220:320, 321, and 322, and 01:640:136 or 152.
Course Descriptions
01:220:424 Machine Learning for Economics (3)
- Credits: 3
- Course Type: Upper Level Elective for Major,
- Minor: Minor in Quantitative Economics
- Certificate: Certificate in Computational Economics and Data Analytics
- Syllabi: 01220424_SampleSyllabus.pdf
