Blogs & mathematical explainers
I write interactive, accessible explanations that move from mathematical ideas to computation, experiments and modern intelligent systems.
Read the featured blog ↓Mathematics Behind AI · Interactive Explainer 01
Begin with a tiny model, change its parameters and watch learning happen—then scale the same mathematical idea toward vectors, matrices, probability and GPT.
Writing direction
The collection will grow around mathematical structure, computation and learning—not general AI commentary.
Parameters, vectors, matrices, optimization, probability and the mathematical structure of learning.
How graph structure, distance and representation contribute to network analysis and intelligent systems.
From asking useful questions to preparing, analysing and communicating evidence.
Curriculum, Python experiments and learning design that connect concepts with contemporary applications.
Extended archive