ML / CV / Robotics Knowledge Base

Link to knowledge base

A concept-oriented knowledge base covering Machine Learning, Computer Vision, Robotics, and their mathematical foundations. Written in Markdown, published as a static digital garden via Quartz.

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Structure

content/
  math/
  cs/
  ml/
  cv/
  robotics/
  physics/
  systems/
  misc/

• One concept = one file
• No duplication
• Everything is linkable via [[...]]

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Fill Priorities

Priority	Domain	Topics
P0	Mathematics	Linear Algebra, Calculus, Probability, Optimization
P0	Machine Learning	ML fundamentals, Deep learning basics
P0	Computer Vision	Camera model, Epipolar geometry, Stereo
P0	Robotics	Kinematics, State estimation
P1	CS Foundations	Algorithms & DS, OS, Computer Architecture
P1	Software	Software Design, Physics (applied)
P2	Optional	English notes, Philosophy, Product thinking, Misc

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Workflow

1. Pick task — check content/TODO.md
2. Create note — touch content/ml/fundamentals/loss-functions.md
3. Write — follow the style guide
4. Preview — npx quartz build --serve
5. Commit — git commit -m "docs: add loss functions"

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What NOT to do

• Do not duplicate concepts
• Do not mix temporary drafts into content/
• Do not break naming consistency

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Long-term Goal

Build a connected knowledge graph that supports interview prep, accelerates learning, and serves as a public technical portfolio.

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License

See LICENSE for details.