Hi!
This is a page of the course "Natural Language Processing (2021-2022)"!
Here you can find all materials presented during lectures and seminars.
If you have any questions, please contact me via mail ([email protected]) or via Telegram @SemenSorork1n.
Sheets with Assessment
Week topic | Date | Video link | Homework | Useful links |
---|---|---|---|---|
About course. ML vs DL. Linear regression (start). | 07.09.2021 | Lec#1 | Check useful links. Linear/Log regression | How to calculate regression using MSE |
Linear regression and logistic regression. | 13.09.2021 | Lec#2 | Logisctic regression from scratch (numpy) | |
Gradient Descent. | 20.09.2021 | Lec#3 | Optimization explained About gradient (read) About gradient (video) | |
Embeddings. Part 1 | 27.09.2021 | Lec#4 | Embedding_from_scratch | |
Embeddings. Part 2 | 04.10.2021 | Lec#5 |
HW | Deadline | GoogleForm |
---|---|---|
/homework1/Homework1_digit_cls.ipynb | 10.10 | https://forms.gle/Xv6BgLtdPSBXGN2N8 |