Last year, BuzzFeed News went looking for surveillance flight paths from the FBI and Homeland Security. Peter Aldhous describes how they did it. They used machine learning — a random forest algorithm to be more specific — to find the spy planes, which as you might expect tended to circle around more than normal flights.
Machine learning to find spy planes
Projects by Nathan Yau See All →
The Demographics of Others
I think we can all benefit from knowing a little more about others these days. This is a glimpse of how different groups live.
10 Largest Data Breaches Since 2000 – Millions Affected
In light of the MySpace photo breach (due to their …