HenryNdubuaku/maths-cs-ai-compendium
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Read online: henryndubuaku.github.io/maths-cs-ai-compendium Most textbooks bury good ideas under dense notation, skip the intuition, assume you already know half the material, and quickly get outdated in fast-moving fields like AI. This is an open, unconventional textbook covering maths, computing, and artificial intelligence from the ground up. Written for curious practitioners looking to deeply understand the stuff, not just survive an exam/interview. 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 friends used these notes to prep for interviews at DeepMind, OpenAI, Nvidia etc. They all got in and currently perform well in their roles. Meanwhile I got in Y Combinator last year. So I'm sharing to everyone. This repo includes an MCP server that lets any AI assistant (Claude Code, Cursor, VS Code, etc.) use the compendium as a knowledge base.…
Read the full README ↗ · Preview checked 2026-10-27T23:38:47.908Z
Inside the original README — Document outline
- Maths, CS & AI Compendium
- Overview
- Background
- MCP Server
- Outline
- Foreword
- How To Study Better
- Who is Henry Ndubuaku?
- Citation
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the README
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
Repository facts
- Owner
- HenryNdubuaku
- Primary language
- TypeScript
- Stars
- 7,684
- Forks
- 945
- Open issues + pull requests
- 15
- License
- Apache-2.0
- Archived
- No
- Default branch
- main
- Created
- 2026-02-03T16:28:18.000Z
- Last push
- 2026-07-18T22:19:35.000Z
Topics and intended use
Owner-supplied topics: ai-textbook, algorithms, artificial-intelligence, computer-science, computer-vision, deep-learning, jax, linear-algebra, machine-learning, machine-learning-algorithms, math, mathematics, multimodal-learning, nlp, probability, python, reinforcement-learning, speech-processing, statistics
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-11-01T13:20:54.848Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.