Spring 2021

INF 385T Special Topics in Information Science : Introduction to Machine Learning

Unique ID: 28390


12:00 PM - 02:00 PM  

Synchronous online class meetings with additional asynchronous online coursework to be arranged.

NOTE: In addition to the Monday afternoon lecture meeting, an additional mandatory online lab meeting will take place on Tuesdays 4-5pm.



This class will cover core and cutting edge concepts employed in machine learning to solve
artificial intelligence problems. Students will learn the theory behind a range of machine
learning tools and practice applying the tools to, for example, textual data (natural language processing), visual data (computer vision), and the combination of both textual and
visual data.


Graduate standing.

Prior programming experience is strongly recommended.


Restricted to graduate students in the School of Information.