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.
Please make sure to update tests as appropriate.