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MD
Mark Dvorak
Optum Technology
Sr Prin Cap-Tech Prf Mgmt
Thursday
, May 30
9:00am CDT
Startup Showcase
(E) P0806 A&B
Develop a Data Strategy to Compete with the Giants
(C) A2564 - A2566
Evangelizing Python For Business
(D) P0808 A&B
How to Model with Millions of Variables
(H) P1838
9:45am CDT
MinneAnalytics Open Forum
(I) K1450 (Fireside)
Founder Stories: Building a Successful Data or AI Startup in MN
(E) P0806 A&B
Trust the Algorithm: Recommending Technicians for On-Site Work in a B2B Marketplace
(G) P1808
A Data Science Playbook for Explainable AI - Navigating Interpretable vs Predictive Models
(D) P0808 A&B
Building Your Own R Package
(H) P1838
Do-It-Yourself Interactive Data Visualization: Starting Simple (and Keeping It That Way)
(A) Auditorium
10:45am CDT
Story of a Data Engineer
(D) P0808 A&B
Dynamic Modeling and Forecasting
(B) Garden Room
11:30am CDT
Leadership in Data Science Panel
(D) P0808 A&B
The Top 4 Hazards to Avoid When Building Your Data Lake
(B) Garden Room
Deliberations on Scientific and Methodological Aspects of Machine Learning
(H) P1838
Question Answering in the Legal Domain
(F) P0838
1:15pm CDT
The Pace of Tech is Accelerating
(A) Auditorium
Come On, Get SHAPpy: Interpretable Machine Learning with SHAP
(E) P0806 A&B
2:15pm CDT
Using PyTorch to Classify Traffic Signs
(G) P1808
Powerful Data from Unexpected Places
(B) Garden Room
3:15pm CDT
Human-Centered Data Science
(A) Auditorium
Help! How do I get better prices on flights?!
(B) Garden Room
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