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Monday, December 3 • 11:15am - 12:00pm
Predicting Sales during Hurricanes for a Home Improvement Retailer via TensorFlow

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When a hurricane is bearing down on a major metropolitan area, accurately predicting the extreme spikes in demand for home improvement categories is extremely difficult, and too often based on inaccurate instinct. See how North Highland used TensorFlow to train a recursive neural network on hundreds of terabytes of weather data, to help a major home improvement retailer better protect their customers' homes and loved ones in times of need.

avatar for Matt Yates

Matt Yates

Sr. Data Scientist and Management Consultant, North Highland
Matt is a seasoned data scientist and management consultant recognized in 2018 by Consulting Magazine’s “35 Under 35” as a rising star in retail consulting. Since joining North Highland, Matt has been on a relentless pursuit to craft innovative solutions driving both top and... Read More →

Monday December 3, 2018 11:15am - 12:00pm CST
(6) Xenon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102