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Sara Rose
MN Dept of Human Services
Systems Integration and Process Redesign Coord.
St. Paul, MN
Thursday
, May 30
9:00am CDT
Connecting Data to Decisions: Where to Start with Modern Analytics
(A) Auditorium
Evangelizing Python For Business
(D) P0808 A&B
9:45am CDT
Deep Dive into the Doughboy’s Data
(B) Garden Room
A Data Science Playbook for Explainable AI - Navigating Interpretable vs Predictive Models
(D) P0808 A&B
Building Your Own R Package
(H) P1838
10:45am CDT
Why Marketing Analytics Fails (and How to Do It Right)
(C) A2564 - A2566
Data as a trusted partner
(F) P0838
From Data Science to Knowledge Engineering: How Graphs Change Everything
(A) Auditorium
Dynamic Modeling and Forecasting
(B) Garden Room
11:30am CDT
Leadership in Data Science Panel
(D) P0808 A&B
Data Science Isn't Just A Job
(C) A2564 - A2566
The Top 4 Hazards to Avoid When Building Your Data Lake
(B) Garden Room
Bridging the Skills Gap Between Data Enthusiast and Data Scientist with AutoML
(A) Auditorium
1:15pm CDT
Machine-Learned School Dropout Early Warning at Scale
(F) P0838
2:15pm CDT
Powerful Data from Unexpected Places
(B) Garden Room
Statistical Optimization of Deep Learning Hyperparameters and Data Augmentation Methods
(D) P0808 A&B
Leveraging Natural Language Processing (NLP) to drive insight from consumer feedback
(A) Auditorium
Litigation Analytics: Extracting legal data from federal court dockets
(F) P0838
3:15pm CDT
Human-Centered Data Science
(A) Auditorium
Probabilistic programming for investigation and discovery
(D) P0808 A&B
4:00pm CDT
Data literacy for my business partners: What is it, why I want, and how I can help?
(A) Auditorium
Data Science is Dev Ops
(B) Garden Room
Apache Sqoop, Spark, and cloud-based computing with Databricks
(C) A2564 - A2566
Timezone
Data Tech
America/Chicago
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Normandale Partnership Center, 9700 France Ave So, Bloomington, MN 55431
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(A) Auditorium
(B) Garden Room
(C) A2564 - A2566
(D) P0808 A&B
(E) P0806 A&B
(F) P0838
(G) P1808
(H) P1838
(I) K1450 (Fireside)
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0 - Panel/Showcase
1 - Business
2 - Mostly Business
3 - Business & Technical
4 - More Technical
5 - Very Technical