Data Science for Practical Economic Research
2020 S1S2
Jul 11
Homework 7
- Homework 07 has been released and is due by Wednesday, July 22.
- Please refer to the demo Professor Kucheryavyy has provided in the Piazza post for help.
Important information
This website serves as a supplement to Professor Konstantin Kucheryavyy’s Data Science for Practical Economic Research course.
- Please check Piazza regularly for announcements.
- Lectures are held every Tuesday, 14:55 - 16:40 (4限). The Zoom link can be found on UTAS.
Goals
In this course, we will study the fundamentals of machine learning, with a focus on economic applications. Topics include:
- Supervised machine learning: under-fitting and over-fitting, regularization, cross-validation, data augmentation
- Unsupervised machine learning: clustering, factor analysis, principal component analysis, independent component analysis
- Semi-supervised learning