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Stop Shipping ML Models With Bare Floats Every week, somewhere, a team makes a deployment decision that looks like this: Model A: AUROC = 0.847 Model …
"Do countries with higher GDP per capita also have longer life expectancy?" I built a tool that lets you explore questions like that across 48 countri…
We track weekly agreement between an LLM judge and human labels (Cohen's kappa) on a sample of production traces. For three weeks the point estimates …
In [1], the authors present a method for constructing a symbolic (nominal) representation for real-valued time series data. A symbolic representation …
I put my coursework from SIUe's Master's in Mathematics program up on the problem sets section of this site. Five courses from 2021-2022 that formed t…
When can you safely use a simpler model for a series system? I ran extensive simulation studies with likelihood ratio tests to get a quantitative answ…
If your LLM-as-judge calibration kappa moves around week to week and you cannot explain it from labeller behavior, the usual cause is the marginal dis…
I want to show you a tool I just open-sourced. It's called CausalLens, and it answers one specific question that most analytics stacks get completely …
Pairs trading rests on a simple idea: find two assets that move together, wait for them to diverge, and bet on convergence. The hard part is defining …
The problem At a real mahjong table, software can't help you mid-hand. The question — "is this tile safe to discard?" — comes up every few turns, and …
Correlation helps you understand whether two variables move together and how strongly they are related. In this article, you'll learn how Pearson, Spe…
For most of 2025, the standard AI-search audit I saw from peer agencies looked the same: run a list of prompts once each, screenshot the outputs, code…
Series: Building an Explainable AI Underwriter This is Part 2 . ↜ Part 1: Why Explainable AI Matters in Underwriting ↝ Part 3: Human Intervention Thre…