Sep 23–26, 2019
Jeroen Janssens

Jeroen Janssens
Founder and Trainer, Data Science Workshops B.V.

Website | @jeroenhjanssens

Jeroen Janssens is the founder and CEO of Data Science Workshops B.V., 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 is the author of Data Science at the Command Line, published by O’Reilly Media. Jeroen holds a PhD in machine learning from Tilburg University and an MSc in artificial intelligence from Maastricht University.

Sessions

4:35pm5:15pm Thursday, September 26, 2019
Location: 1A 08/10
Jeroen Janssens (Data Science Workshops B.V.)
In this talk, we present 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. First, we illustrate the idea and intuition behind SOS. Subsequently, we demonstrate our implementation of SOS on top of Spark. Finally, we apply SOS to a real-world use case. Read more.

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