This course contains a link to the courses and their respective assignments which I will be completing for my online MS degree.
- Linear Algebra (Ongoing)
- Probability Theory and Stochastic Processes (Ongoing)
- Advanced Probability (Ongoing)
- Convex Optimization
- Machine Learning (Ongoing)
- Deep Learning I
- Deep Learning II
- Probabilistic Machine Learning
- Bayesian Deep Learning
- Nordic Probabilistic AI
- Natural Language Processing
- Reinforcement Learning
- Meta-Learning
- Deep Unsupervised Learning
- Full-Stack Deep Learning
- Computer Vision
- Autonomous Navigation for Flying Robots
- Probabilistic Graphical Models
- Graph Neural Networks
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.