Course Description
Advanced machine learning techniques focusing on probabilistic models. Deep learning and differentiable programming, exponential families and Bayesian inference, probabilistic graphical models and other generative models, Monte Carlo and variational inference methods.
Average difficulty
Average quality
Not as organized as 340, maybe take CPEN455 instead if your into Deep learning, otherwise this course is more into Statistical and Bayesian model for the first 3/4 of the course topic then the last 1/4 is the actual Deep Learning stuff
| Difficulty: | 4 | |
| Quality: | 2 |