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PDOS: machine learning for graduate application
Submitted by Jillian Auerbach on Tue, 03/27/2012 - 10:05
Extend the EECS system for receiving and reviewing graduate admission applications to use machine learning algorithms to speed up the reviewing cycle. There are a few different directions that project could go, and your job is to find out what the direction to go and pursue that. This project involves analyzing data sets for several years, investigating what features to analyze and what machine algorithms to use, and implementing a design in a python-django-based Web site. Interested candidates may contact Frans Kaashoek, firstname.lastname@example.org, Robert Morris, email@example.com, and Nikolai Zeldovich, firstname.lastname@example.org. If you have another systems hacking project that you would love to execute, please email as well.