HenryNdubuaku/maths-cs-ai-compendium resource

Health v2 · maintenance only

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Adoption not part of the score

7371 stars · 901 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An open-source online textbook covering mathematics, computer science, and AI/ML with an intuition-first approach, from linear algebra and probability to deep learning and NLP. It also ships an MCP server so AI assistants like Claude Code or Cursor can query the compendium as a knowledge base.

Use cases

• learn the math behind machine learning from scratch
• prepare for AI/ML research or engineering interviews
• understand linear algebra and probability with intuition instead of dense notation
• study deep learning, NLP, and reinforcement learning fundamentals
• let an AI assistant answer questions from the textbook via MCP
• refresh statistics and calculus for ML work

When to choose

• you want a free, intuition-driven alternative to dense academic textbooks
• you are self-studying the foundations of AI/ML
• you want an LLM-accessible knowledge base of math and ML concepts

When to avoid

• you need a formal, rigorous reference with proofs
• you need a structured course with graded exercises and certification
• you need production ML tooling rather than learning material

Facets

learning-resource · maturity active

documentation mcp developer-tools tutorials machine-learning artificial-intelligence mathematics education python textbook open-textbook linear-algebra probability statistics deep-learning reinforcement-learning nlp computer-vision intuition-first mcp-server interview-prep web-server typescript

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