Course Materials

📚 Prerequisites

Students should be comfortable with multivariate calculus, linear algebra, probability, statistics, information theory, and Python programming to register for the course.

Basic knowledge of machine learning (e.g., ESE 4200, CIS 5190, or CIS 5200) would be very useful.

📖 Reference Books

Generalized Principal Component Analysis
René Vidal, Yi Ma, Shankar Sastry
1st Edition ISBN: 978-0-387-87810-2
Deep Generative Modeling
Jakub M. Tomczak
1st Edition ISBN: 978-3-030-93157-5