Machine Learning Techniques in Economics and Finance
Harvard Summer School
MGMT S-105
Section 1
CRN 35878
This course covers machine learning techniques that can be applied to the fields of economics and finance. The techniques covered in this course include multiple linear regression, logistic regression, decision trees, Naive Bayes, and unstructured learning techniques such as k-nearest neighbors (k-NN) algorithm means and cluster analysis.
Registration Closes: June 16, 2025
Credits: 4
View Tuition Information Term
Summer Term 2025
Part of Term
3-week session II
Format
On Campus
Credit Status
Graduate
Section Status
Open