Master’s in Computer Science.
| Semester | Course | Grade |
|---|---|---|
| Spring 2019 | Probabilistic Graphical Models | 4 |
| Spring 2019 | Deep Learning for NLP | 4 |
| Spring 2019 | Machine Learning | 4 |
| Fall 2019 | Probability Theory (with measure theory) | 4 |
| Fall 2019 | Reinforcement Learning | 4 |
| Fall 2019 | Automated Knowledge Base Construction | 4 |