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A list of resources I've liked:

  • LLMs Resources
  • fast.ai
    • The fact that the course starts with training a model in the first lecture, then deploying in the second lecture just show's Jeremy Howard's dedication to providing good education. The accompanying libraries are designed well and the community is vibrant.
  • Kalman and Bayesian Filters in Python
    • Well structured and the topics are concurrently introduced with mathematical / statistical concepts needed.

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