HenryNdubuaku/maths-cs-ai-compendium

Project overview

Addresses gaps in traditional textbooks by prioritizing real-world intuition for fast-moving AI concepts.

Project type

Data Processing · Infrastructure

Use cases

Learning & Education

Deployment

Refer to project documentation

License

Apache-2.0

Best for

• Curious practitioners, developers, researchers, and educators looking for intuition-first, ground-up explanations of mathematics, computing, and AI concepts.

Key capabilities

• Covers mathematics, computing, and artificial intelligence from the ground up across 18 available chapters, including vectors, matrices, calculus, machine learning, and computer vision.
• Includes a Model Context Protocol server enabling AI assistants to use the compendium as a knowledge base, equipped with educational tools and examples.

Limitations and risks

• Using the MCP server requires a local clone of the repository to be present.

Getting started

• Begin by reading the material directly online via the project website at henryndubuaku.github.io/maths-cs-ai-compendium.

Evidence and sources

• README: **Read online**: [henryndubuaku.github.io/maths-cs-ai-compendium](https://henryndubuaku.github.io/maths-cs-ai-compendium/)
• README: This is an open, unconventional textbook covering maths, computing, and artificial intelligence from the ground up. Written for curious practitioners looking to deeply understand…
• README: Over the past years working in AI/ML, I filled notebooks with intuition first, real-world context, no hand-waving explanations of maths, computing and AI concepts. In 2025, a few…
• README: | 01 | [Vectors](chapter%2001%3A%20vectors/01.%20vector%20spaces.md) | Spaces, magnitude, direction, norms, metrics, dot/cross/outer products, basis, duality | Available |
• README: This repo includes an MCP server that lets any AI assistant (Claude Code, Cursor, VS Code, etc.) use the compendium as a knowledge base. It requires a local clone of the repo. Com…

Reviewed at: 2026-07-15T19:44:38Z