Homin Lee is a data scientist for Datadog, where he writes algorithms that process hundreds of billions data points a day. Prior to Datadog, Homin built large-scale machine learning systems at several start-ups. Homin has a PhD from Columbia University in computational learning theory, and was a Computing Innovation Fellow at the University of Texas at Austin.
Webcast: Turning big data into knowledge July 19, 2016
In this online conference, three data scientists discuss open source tools, methodologies, and processes for turning big data into valuable insights.