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4 - Mostly Technical [clear filter]
Monday, December 3

9:30am CST

In Four Simple Steps, ETL Clickstream to Data Product APIs (no Engineer needed!)
Many organizations use Clickstream for reporting but struggle to turn that data into valuable Data Products and production-ready ML models. Thanks to Apache Spark and Cloud Computing, it’s not as daunting task as you may think.

I’m going to cover in detail a recipe for you to take your Clickstream, explore it, ETL into a cloud platform, then create/publish data products into a REST API for consumption. This approach is designed to be nimble and iterative, with no back-end engineering needed.

avatar for Josh Janzen

Josh Janzen

Life Time, Inc, Senior Data Scientist
Josh is a fast-moving Data Scientist with experience in both the Retail and Healthcare industries, leveraging various cloud computing platforms.  The key to Josh’s success is the ability to recognize opportunities in data and the skills to capitalize from start to finish.  Josh... Read More →

Monday December 3, 2018 9:30am - 10:15am CST
(6) Xenon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

9:30am CST

Recommender Systems: Algorithmic Fundamentals
Recommender systems have been integrated into a wide variety of commerce, content, and other marketing systems to guide customers and users to products and information they are likely to find valuable. In this talk, we look at a diverse set of techniques for recommendation, from easy-to-implement algorithms for small systems to the high-throughput algorithms used in larger-scale deployments. We focus on understanding the key data and user assumptions behind these algorithms, and in turn where they are most likely to be useful.

avatar for Joseph Konstan, PhD

Joseph Konstan, PhD

Professor, University of Minnesota
Joseph A. Konstan is Distinguished McKnight University Professor and Distinguished University Teaching Professor in the Department of Computer Science and Engineering at the University of Minnesota.  His research addresses a variety of human-computer interaction issues, including... Read More →

Monday December 3, 2018 9:30am - 10:15am CST
(1) Omnitheater (Access via Floor 5 or 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

2:00pm CST

Understanding Public Transit Rider Satisfaction using Clustering and Bayesian Regression
Using Metro Transit's 2016 customer satisfaction survey, we applied a clustering algorithm to segment transit riders based on the attitudinal questions. A Bayesian logistic regression is then applied in order to profile each of the clusters.

avatar for Kim Eng Ky

Kim Eng Ky

Data Scientist, UnitedHealthcare
Kim is currently a data scientist at UnitedHeatlhcare. Prior to joining UnitedHealthcare, she worked in the Research & Analytics team at Metro Transit.  
avatar for Eric Lind

Eric Lind

Manager, Research & Analytics, Metro Transit

Monday December 3, 2018 2:00pm - 2:30pm CST
(2) Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

2:45pm CST

Anomaly Detection from A to Z
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