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

Community Manager
Community Manager
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. 

Looking for more resources to help you use Dataiku effectively and upskill your knowledge? Check out these great resources: Dataiku Academy | Documentation | Knowledge Base

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