Learning List

This is the stuff I want to read and learn at the moment:

General Learning Stuff

Machine Learning

  • CSC 321 Winter 2018 – Intro to Neural Networks and Machine Learning – https://www.cs.toronto.edu/~rgrosse/courses/csc321_2018/ – so I can keep up when studying Neural Networks: Zero to Hero
  • Neural Networks: Zero to Hero – https://github.com/karpathy/nn-zero-to-hero
  • Blog Post: LLM Engineering https://huyenchip.com/2023/04/11/llm-engineering.html
  • https://www.deeplearningbook.org/
  • https://towardsdatascience.com/perplexity-intuition-and-derivation-105dd481c8f3
  • https://towardsdatascience.com/the-intuition-behind-shannons-entropy-e74820fe9800
  • TBC Some course on calculus / linear algebra to brush up
  • TBC Some course on PyTorch

Computers in general

  • cpu.land – a small course about learning how Linux works in more detail

Final note:

Hope this was useful and interesting. I'd appreciate it if you drop your name/email below, and I can keep you up to date on new posts. I am for approx 1-2 a fortnight, but that's not a promise! Similar idea to subscribing to a Substack.

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