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Linear Algebra 101 for AI/ML – Dot Product, Embeddings (trybackprop.com)
9 points by trybackprop 7 months ago | hide | past | favorite | 6 comments



Learn the linear algebra you need to know for AI/ML. This covers the dot product both algorithmically and visually and applies it to machine learning embeddings. This article also contains visualizations and two interactive playgrounds, the Interactive Dot Product Playground [0] and the Interactive Embedding Explorer [1] (best viewed with laptop or desktop!) to reinforce the concepts that are taught.

[0] https://www.trybackprop.com/blog/linalg101/part_2_dot_produc...

[1] https://www.trybackprop.com/blog/linalg101/part_2_dot_produc...


This looks incredible! How did you create the interactive playgrounds and vectors plots?


Thanks! I built the interactive playgrounds with React in TypeScript, a lot of SVG manipulation. All of this was built with either Python for visuals or React in general.


Any plans for future articles?


Where Part 3?


keep doing this, it's great work and don't get disheartened.

waiting for the next part.




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