STA 4242
Statistical Learning II -- Foundations of AI
Considers methods and theoretical advances underlying modern Artificial Intelligence building upon STA4241, focusing on optimization, Bayesian inference, probabilistic graphical models, neural networks, deep learning architectures, generative models, reinforcement learning, and interpretability. Equal emphasis is placed on theory, computation, and applications.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: STA 4241 (Statistical Learning in R), plus familiarity with linear algebra and probability. Attributes: Know-AI
Sources
- Course catalogue ↗2025-2026