Blog
Testing Branch
Explorations in machine learning, simulation, and data modeling — practical notebooks and experiments.
Latest posts
2026-02-08 — Exploring how increasing k-anonymity affects data utility and the attacker’s ability to re-identify records.
2025-11-11 — Empirical evaluation of local geometry in vector embeddings across models and corpora.
2025-11-07 — Using Z3 to prove two ML models are logically equivalent — or extract the exact counterexample where they diverge.
2025-10-28 — A quick experiment linking Laplace noise and data resolution, showing how privacy and precision trade off
2023-06-09 — Bayesian decision making applied to sales opportunities
2021-05-01 — How models behave when data gets messy
2021-04-03 — A simple example of how GoPy can be used to extend python with Go native code
2021-03-22 — Probing and fusing parameter space explorations
2021-02-20 — Observing the impact of outliers in small time series using gaussian processes
2021-02-14 — Using smaller samples to find optimal parameters for machine learning models
