Advanced Machine Learning
Course Description: Covers advanced topics in machine learning. Focuses on probabilistic graphical models, inference and learning algorithms, and their connections to deep learning. This is a PhD level course with emphasis on mathematical principles as well as practical know-how.
The course syllabus will continuously be updated with methods from state-of-the-art research.
- CS 6140 Machine Learning
- Familiar with linear algebra, statistics, optimization
- Proficient at programming in Python
Note: the syllabus is tentative and is subject to change.
-  Information Theory, Inference, and Learning Algorithms
-  Probabilistic Graphical Models: Principles and Techniques
-  Deep Learning Book
Additional References (optional):