26 au 28 février, 2025
Montréal, Canada
The Statistics of Anomaly Detection
If you collect any kind of real-time data, you're probably interested getting alerted when this data goes out of whack, but setting static thresholds has the downside of having a lot of false positives. Using Anomaly Detection can help determine normal patterns and alert you when those go out of whack.
In this talk we'll look at some of the methods of detecting anomalies in your data.
In this talk we'll look at some of the methods of detecting anomalies in your data.
Philip Tellis
Akamai
Philip Tellis is a geek who likes to make the computer do his work for him. As Principal RUM Distiller at Akamai, he analyses the impact of various design decisions on web application performance, scalability and security. He is the creator of "boomerang" -- a JavaScript based web performance measurement tool.
In his spare time, Philip enjoys cycling, reading, cooking and learning spoken languages.
