Nabin’s Math Journal :-)

Notes on mathematics and theoretical foundations of AI

Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.
— Richard Feynman

This site documents my structured self-study in mathematics and theoretical foundations relevant to AI research. The focus is on proof-based mathematics, core theory, and connections to modern machine learning.

What you’ll find here

Rigorous notes on linear algebra, real analysis, probability, and optimization
Proofs and derivations written and reworked for understanding
Connections between mathematical theory and modern AI / machine learning
Reading notes on research papers

This site is intentionally minimal :-)