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Eric Ness
When I Work, Inc.
Data Scientist
https://linkedin.com/in/ericnessdata/
Monday
, December 3
9:00am CST
Kickoff
Atrium
9:30am CST
Recommender Systems: Algorithmic Fundamentals
(1) Omnitheater (Access via Floor 5 or 6)
Joseph Konstan, PhD
10:15am CST
Break
10:30am CST
Startup Showcase (continued)
(4) Argon Room (Floor 6)
Copernicus • EdwardsAI • Fountane_LLC • FullContact • FusionSeven • KickFactory • Pergatech • Radaro • Runway_Analytics • ShareRoot_Group • Raw_Office • Trinlogix
Marketing Personalization using Machine Learning: Harnessing Consumer Engagement for Better outcomes
(2) Auditorium (Floor 3)
Devi Kyanam
11:00am CST
Break
11:15am CST
Launching & Growing a Fintech Startup: The View from the Trenches
(4) Argon Room (Floor 6)
Graeme Thickins • Susan Langer • Michael Noble • Charlie Youakim
Predicting Sales during Hurricanes for a Home Improvement Retailer via TensorFlow
(6) Xenon Room (Floor 6)
Matt Yates
Visual Storytelling: Putting Data into Context
(1) Omnitheater (Access via Floor 5 or 6)
Arlene Birt
12:00pm CST
Lunch
Atrium
1:00pm CST
Helping the Data Scientist deploy code from end to end in Azure
(3) Discovery Hall (Floor 4)
Huy Ly
1:45pm CST
Break
2:00pm CST
Understanding Public Transit Rider Satisfaction using Clustering and Bayesian Regression
(2) Auditorium (Floor 3)
Kim Eng Ky • Eric Lind
2:30pm CST
Break
2:45pm CST
Anomaly Detection from A to Z
(4) Argon Room (Floor 6)
John Hogue
3:30pm CST
Break
3:45pm CST
Leveraging Knowledge Graphs for Better Voice Experiences
(3) Discovery Hall (Floor 4)
Jay Myers
Sniff Out, Then Snuff Regression to the Mean
(2) Auditorium (Floor 3)
Jason McNellis
4:15pm CST
Networking Social
Atrium
Timezone
MinneFRAMA
America/Chicago
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Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102
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(6) Xenon Room (Floor 6)
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