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Monday, December 3 • 2:45pm - 3:30pm
Anomaly Detection from A to Z

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Behold! The heartbreaking! The hair-raising! Values too big or too small to believe! Hear about the messy science of anomaly detection! Walk through the nuances of different kinds of anomaly and outlier detection methods! And for a limited time only, you too can see how to highlight truly SHOCKING events!

Note: Real data and real code provided; explore on your own afterward.

avatar for John Hogue

John Hogue

Lead Data Scientist, General Mills
John is Lead Data Scientist at General Mills, Social Data Science co-founder, and habitual MinneAnalytics volunteer.

Monday December 3, 2018 2:45pm - 3:30pm CST
(4) Argon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102