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

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

1:00pm CST

Building Better Budgets
You suck at budgeting. But it’s not your fault.

In Building Better Budgets I’ll show you how to use Python and open-source packages (pandas, Altair, Fire) to master your cash flow situation.

“How much can I afford to sock away each month for my retirement, will my bank account survive a trip to Mauritius over Christmas, and should I quit my Bubble Tea habit?

We’ll tackle all of these questions and more~

avatar for Max Humber

Max Humber

Author, Personal Finance with Python
Max likes to make code more tangible and relatable. He is the author of ‘Personal Finance with Python’, was the second Data Engineer at Wealthsimple, and the first Data Scientist at Borrowell. He’s delivered presentations on programming, Python, and data in six countries.

Monday December 3, 2018 1:00pm - 1:45pm CST
(6) Xenon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

3:45pm CST

Mission Impossible: Catch Credit Card Thieves
The purpose of the presentation is to show the modeling building process for a predictive model for credit card frauds, understand how the model works, and acknowledge the limitations of the model. Large dataset manipulation, sampling methods for fraud dataset, and multicollinearity problems will be discussed as well.

avatar for Adam Elliott

Adam Elliott

President, ID Insight
avatar for Somang Han

Somang Han

Data Analyst, ID Insight
Somang (So) is a recent college graduate from St. Olaf College. She is very interested in the intersection of risk management and data science. Currently, she works as a Data Analyst at Amplifon, consolidating budget reports over years by Excel, assisting for budget forecasting for... Read More →

Monday December 3, 2018 3:45pm - 4:15pm CST
(6) Xenon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102