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Anomaly Detection in the Opioid Files - June 24th at 12:00 PM ET

Dataiker Alumni
Anomaly Detection in the Opioid Files - June 24th at 12:00 PM ET

Mark your calendars for the launch of the first New York User Group Event on Wednesday, June 24th at 12:00 PM ET!

For the first virtual event of the New York Dataiku user group , @pmasiphelps  (Lead Data Scientist at Dataiku) will present an anomaly detection project in Dataiku DSS, based on the data in The Washington Post’s The Opioid Files.

Anomaly detection is a step in data mining that identifies data points, events, and/or observations that deviate from a dataset's normal behavior. Anomalous data can indicate critical incidents, such as a technical glitch, or potential opportunities, for instance a change in consumer behavior.

This presentation will be followed by a discussion to share feedback and best practices on anomaly detection with DSS.

Register now to learn more about the event topic and agenda! 

Please note: The dataset that is used in this presentation is the publicly available data presented by The Washington Post. 

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