Notes on NLP (all the way to transformers)

This is my personal notes i have been taking while studying the Stanford NLP course, they also have it uploaded on youtube, just search "Stanford NLP" on youtube and you will find the latest upload from them

I strongly advise using Obsidian to render this file, as github doesn't render block equations here well

What you will find

you will find in the notes, not just unorganized gibberish like most students do you will see:

• theory
• code implementation for each topic
• uses cases for each topic (when to use what)
• grapic diagrams using Mermaid, if any diagram does not render here on github md viewer, use this website: Mermaid Viewer and paste the diagram that doesn't render
• examples that are not so popular, because i am tired from NLP videos overusing the "king" and "queen" examples
• solved examples for most preprocessing algorithms, and note that you should at least solve them by hand at least 2 times with different cases

That's it, Happy learning!

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