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Feature Selection Methods




MAS: Media Arts and Sciences

Faculty Supervisor:

Cynthia Breazeal

Faculty email:


Apply by:

Sep 10, 2020


Sharifa Alghowinem: sharifah@media.mit.edu

Project Description

AI with high dimensional space could reduce the interpretability of the model as well as resulting in a mixed performance. This project aims at creating a framework to utilize feature selection methods for reducing the dimensionality and enhancing the interpretability of the models.


Experience in programming with python including creating GUI is highly required. Good knowledge in feature extraction and analysis in the AI context is ideal for successful applicants.