Sep 23–26, 2019

Jeroen Janssens
Founder, CEO, and Instructor, Data Science Workshops

Jeroen Janssens is the founder, CEO, and an instructor of Data Science Workshops, which provides on-the-job training and coaching in data visualization, machine learning, and programming. Previously, he was an assistant professor at Jheronimus Academy of Data Science and a data scientist at Elsevier in Amsterdam and startups YPlan and Outbrain in New York City. He’s the author of Data Science at the Command Line (O’Reilly). Jeroen holds a PhD in machine learning from Tilburg University and an MSc in artificial intelligence from Maastricht University.

Sessions

4:35pm–5:15pm Thursday, September 26, 2019

Location: 1A 08/10

Scalable anomaly detection with Spark and SOS

Data Science, Machine Learning, & AI

Secondary topics: Temporal data and time-series analytics

Jeroen Janssens (Data Science Workshops)

Jeroen Janssens dives into stochastic outlier section (SOS), an unsupervised algorithm for detecting anomalies in large, high-dimensional data. SOS has been implemented in Python, R, and, most recently, Spark. He illustrates the idea and intuition behind SOS, demonstrates the implementation of SOS on top of Spark, and applies SOS to a real-world use case. Read more.