THE STATISTICAL FOUNDATION OF GENERATIVE ARTIFICIAL INTELLIGENCE

Credit Hours: 3 · Graduate

This course is an advanced machine learning course that focuses on the statistical foundations of generative AI in the Data Science (DSCI) Minor Program. In this course, students will study the fundamental concepts of statistics and understand the evolution of machine learning from discriminative to generative models. Specifically, students will learn two main foundation models: Transformers and diffusion models, via understanding their statistical foundations, comparing their advantages to classical models, and implementing the two models in real-world applications. Graduate/Undergraduate Equivalency: STAT 420 .