Machine Learning for Social Science, Fall 2023
Applied machine learning for all social science disciplines.
Applied machine learning for all social science disciplines.
This talk focuses on data analytics, AI, and machine learning, examinig different uses cases for methods. Examples include portfolio allocation using statistics, misreporting detection using machine learning, and transformer neural network applications.
Presentation on “Understanding Sentiment Through Financial Context.”
Slides from the SMU PhD Research Workshop + Information Session