Course notes, derivations, and personal analysis from the MAI program at University of Auckland.
Writing here aims to go beyond lecture summaries — each post tries to extract the core insight, expose the underlying math, and connect ideas across courses.
| Course | Focus |
|---|---|
| COMPSCI 713 | AI Fundamentals — probabilistic models, soft computing, bio-inspired AI |
| COMPSCI 714 | AI Architecture — transformers, LLMs, deep learning systems |
Related hubs:
Suggested Traversal
- Start with COMPSCI 713 for probabilistic, biological, and soft-computing foundations
- Continue to COMPSCI 714 for transformers, language models, and implementation-heavy study
- Use Notes to jump sideways across themes instead of staying inside course boundaries