Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Discrete choice and machine learning: two methodologies
Description
This lecture explores the complementary methodologies of discrete choice and machine learning, focusing on notations, variables, models, data generating processes, extrapolation, what-if analysis, representativity of the sample, implications, examples, results interpretation, indicators with ML models, research trends, and relevant bibliography.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.