Bayes Theorem

Jan 28, 2026 ML Math Derivations 34 min read

ML Math Derivations (9): Naive Bayes

Rigorous derivation of Naive Bayes from Bayes theorem through conditional independence, parameter estimation, Laplace smoothing, three model variants, and why it works despite violated assumptions.

Aug 18, 2024 Probability and Statistics 36 min read

Probability and Statistics (1): Probability Spaces — Why We Need Axioms (But Won't Overdo It)

Building probability from the ground up: sample spaces, Kolmogorov's axioms, conditional probability, Bayes' theorem, and the birthday problem — with proofs and Python simulations.