Learn modern AI from the mathematics up.
A 5,546-page reference that connects probability, optimization, neural architectures, generative models, reasoning, safety, and scientific applications. Read it as a book, teach it as slides, or explore it with an AI tutor beside you.
- Reference
- 5,546
- pages
- Curriculum
- 46
- chapters
- Scope
- 25
- parts
Begin with the common language
Move between rigorous reading and visual intuition without changing tools.
The interface stays consistent across chapters, slides, annotations, tutor explanations, and exported notes, so attention stays on the idea rather than the software.
Find your next chapter.
Search 44 rendered chapters or browse the complete 25-part structure from foundations to scientific and agentic applications.
These chapters are still under development and validation.
The material is being written and revised in the open, so some chapters are incomplete and errors will remain in the ones that are not. Please do not treat it as settled reference material yet. If you find a mistake, whether mathematical, typographical or a broken link, we would be glad to hear about it: write to pk.iiith@gmail.com with the chapter and, if you can, the sentence or equation concerned.
46 chapters