Advanced Topics in Modern Machine Learning
COMPSCI 2823R
Subject & Catalog Number
Course Information
Description
This course explores active research in machine learning and AI, and topics may include probabilistic machine learning, generative AI models and their evaluation, causality, and applications. Students will gain broad exposure to these areas through recent papers, reflecting instructor interests. The course involves student-led weekly discussions of chosen papers, emphasizing motivation, context, and innovation. An instructor will facilitate group discussions and guide presentations. Students will also complete an in-depth course project on a chosen subject.
Course Notes
Interested students should complete the Google form on the course’s Canvas website.
School
Faculty of Arts & Sciences
Credits
4
Cross Reg
Available for Harvard Cross Registration
Department
Computer Science
Course Component
Lecture
General Education
N/A
Quantitative Reasoning with Data
N/A
Divisional Distribution
N/A
Course Level
Primarily for Graduate Students
