All posts from: October 2016

Finding Anomalies in User Behavior with Python

In the course of helping over 200 million unique visitors every month find jobs, we end up with a lot of data. The data we collect can tell us a lot about the behavior of our users, and for the most part we observe predictable patterns in that behavior. But unexpected changes could be evidence […]

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