With my Security hat on, and with data streaming through a real time pipeline I wanted to know when I was receiving unusually rates of messages from given sources. But what was unusual and how do I accommodate for peoples weekly working patterns.
Enter Twitter’s Seasonal ESD algorithm ( https://github.com/twitter/AnomalyDetection) but that was written in R, I needed a version in Python. With coffee and some great Panda’s and Python libraries it turned out to be pretty straight forward.
In the 3 hour session we will:
Peter Tillotson is a Data Scientist at Riot Games and have worked there for 6 years in both Security and Insights groups. I love hard problems like understanding human behaviour or by trying to get my algorithms running fast enough on large datasets so that I can spend more time innovating and less time waiting while machines heat up.