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ml-theory-notes

Welcome to my digital notebook! This is a collection of all my self-made notes from learning AI/ML theory. I hope this can be helpful as a reference for anyone on this exciting journey too. :)

Contents:

  • Entropy, Cross-Entropy, and KL Divergence
  • Notes from Anil Ananthaswamy's "Why Machines Learn" (2024)
  • Notes from 3Blue1Brown's YouTube series "Essence of Linear Algebra" (2023)

All this is only possible due to amazing textbooks, YouTube series, and online courses that have made this content super accessible and a joy to learn!

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A compilation of self-made notes from learning AI/ML theory since 2022.

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