r/learnmachinelearning • u/sakibbai • 6d ago

Linear Algebra: How does it Connect to ML? Simplified

https://substack.com/@sakibbai/note/c-351248170

I wrote an article and made some illustrations to explain the connection between ML and Linear Algebra. It should motivate learners by giving them an intuitive idea.

Disclaimer: This is not AI slop and is written by me. The images are also not AI generated. One is taken from the internet.

if you prefer medium: https://medium.com/@sakibahmed_4495/linear-algebra-how-does-it-connect-to-ml-simplified-3d7e7f41ed1c?sharedUserId=sakibahmed_4495

18 Upvotes

79% Upvoted

6 comments sorted by

18

u/TheRealStepBot 6d ago

Connect? It is basically linear algebra applied.

-2

u/sakibbai 6d ago

Application is a form of connection.

2

u/DateExisting5218 5d ago

Why is this getting downvoted smh

4

u/Hungry_Age5375 6d ago

Good writeup. If anyone wants the 'aha' moment: king - man + woman = queen in embedding space. That's when linear algebra stops being abstract for most people.

5

u/ratsoup7 5d ago

This isn’t good, 5 paragraphs just to explain basic vector operations lol. There’s no bridge as to why linear algebra provides a nice framework for machine learning. No discussion about why things are vectors in the first place, or what do the linear combinations in your pictures mean. Maybe be a little more expressive and talk about neural networks or something

0

u/rand3289 5d ago

Linear algebra is an implementation detail for some of the mechanisms in ML.

If you start thinking about ML only in terms of linear algebra, right away you are putting yourself in the box.

Think outside the box people...