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Feature Selection Methods


Term:

Fall

Department:

MAS: Media Arts and Sciences

Faculty Supervisor:

Cynthia Breazeal

Faculty email:

cynthiab@media.mit.edu

Apply by:

Sep 10, 2020

Contact:

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.

Pre-requisites

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.