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Natural Language Processing Course Page

Year 2021-2022

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

HomeWorks

HW Deadline GoogleForm
/homework1/Homework1_digit_cls.ipynb 10.10 https://forms.gle/Xv6BgLtdPSBXGN2N8

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Old Lectures and links (additional info) Year 2020-2021


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  • Jupyter Notebook 100.0%