Graduate Courses
Examples of graduate courses taken in machine learning and data science.
PhD Courses
Chalmers University of Technology
- Advanced Topics in Reinforcement Learning
- Causality and Causal Inference
- Machine Learning in Healthcare
- Scalable Data Science and Distributed Machine Learning
- Learning Theory
- Software Engineering and Cloud Computing
- AI Risks: Fact and Fantasy
- Ethical, Legal and Societal Aspects of AI and Autonomous Systems
Master Courses
Carnegie Mellon University
- 18-797: Machine Learning for Signal Processing
- 11-785: Introduction to Deep Learning
- 04-801: Introduction to Natural Language Processing
- 18-799: Applied Computer Vision
- 18-785: Data, Inference, and Applied Machine Learning
- 18-751: Applied Stochastic Processes
- 04-630: Data Structures and Algorithms for Engineers
- 18-899: Data Analytics
- 18-899: Big Data Science
- 04-630: Cognitive Robotics
- 04-801: Augmented and Virtual Reality Systems
- 19-608: Privacy Policy, Law, and Technology