Machine Learning Open Source Open Science, RPI
Instructor(s): Malik Magdon-Ismail/Thilanka Munasinghe
Office: 312/315 Lally
Tel: 276-4857/276-
Office Hours: F 9:00-10:00am.
/F 9:00-10:00am.
(Or by appointment.)
Email: magdonatgmaildotcom/munastatrpidotedu
E-meeting place:
https://rensselaer.webex.com/meet/magdon74 (as needed)
SUMMARY
A structured,
intensive research experience for students interested in Machine
Learning, AI and Data. Students will focus on a single research project
through the semester to answer a novel research question within an open
source, open science framework. Projects will use data from a variety of
application domains including medical (e.g. disease modeling),
environment, finance, text, image, etc. The primary outcomes for
students will be open source tools and research publications in
peer-reviewed venues. Prerequisites: Registration is by permission of
instructor only. Students must have prior extensive knowledge in Machine
Learning (for example a high passing grade in a 4xxx-level Machine
Learning course) and be proficient in calculus, linear algebra,
probability, algorithms and programming.