"Correlation" by Randall Munroe, xkcd.com — CC BY-NC 2.5
Source: https://xkcd.com/552/
Stories and practical guides on using statistics to solve engineering problems, design high-value systems, and understand the statistical concepts that show up in real production scenarios.
From debugging rare failures to detecting model drift, see how engineers use statistics to solve real production problems efficiently.
Learn how statistical thinking helps you architect production systems—especially AI-based ones—that scale reliably and perform predictably.
Distributions, hypothesis testing, anomaly detection, and time-series analysis— explained through real engineering scenarios, not textbook theory.
Part 2 of a series on BILBO, a home-built baby monitor. Part 1 was the build; this one is the meta. Aggregate metrics lie. Ground truth is sacred. Bigger models don't fix data problems. And coding agents are a different gear for hobby projects, but they won't tell you when to delete your work.
Read article →A $25 IP camera, an old Mac mini that was about to be e-waste, a 3-stage MobileNetV3 cascade, and a dashboard that never leaves my LAN. Here's what I built, how it's put together, and the tradeoffs I can back up with numbers.
Read article →A practical guide (with examples) to using statistical modeling to understand, predict, and prevent mysterious failures in modern distributed systems.
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