Marchine learning learning notes, labs, tutorials

Everything listed here are learned outside of school. In school, linear algebra, statistics and statistical machine learning (linear regression, SVM, etc) courses are foundations.

Completed

• Machine Learning Foundations @ NTU

  • Theories and foundations. Not focused deep learning.
  • Notes at WordPress Site.

• Introduction To Deep Learning @ CMU

  • Introduction to deep learning. Focused on supervised learning.
  • Notes at WordPress Site
  • Labs at this repro.

• Generative AI with Large Language Model @ Cousera

  • Introduction on fullstack LLM engineering.
  • Notes at WordPress Site
  • Notes also at this repro as Markdown files.
  • Labs not uploaded.

In Progress

• Tiny ML and Efficient Deep Learning Computing @ MIT

  • Overview of model compression techniques and ml infra engineering.
  • Notes not uploaded.
  • Labs not uploaded.

• Deep Reinforcement Learning @ HuggingFace

  • Introduction to deep reinforcement learning.
  • Notes at WordPress Site
  • Labs not done.

Planed

• A solid course on reinforcement learning.
• A solid course on generative model. Covering diffusion.
• A intro course on multimodality.