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Thursday, August 24 • 10:15am - 11:00am
A Discussion About How Machine Learning can Create Better User Experiences (Taping of Data Skeptic Podcast)

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Whether or not to bring machine learning into your organization is now a sink or swim decision. Leveraging machine learning tools is the winning strategy, but only when you're able to pose the right question. The Data Skeptic podcast explores the methodologies and implementations of data science solutions, and in this live interview, host Kyle Polich will interview Dr. Joseph Konstan from the University of Minnesota about these topics, specifically in the area of recommender systems.

Most people have experienced both the delight of a good recommendation and the befuddlement of a repetitive, seemingly childish, or random suggestion. How can we better leverage machine learning to solve these problems? How can we make machines that better understand us? Where is recommendation technology headed?

Check out Data Skeptic podcast at www.dataskeptic.com.

Speakers
avatar for Dr. Joseph Konstan

Dr. Joseph Konstan

Distinguished McKnight University Professor and Distinguished University Teaching Professor in the Department of Computer Science and Engineering, University of Minnesota
avatar for Kyle Polich

Kyle Polich

Data Scientist, Data Skeptic


Thursday August 24, 2017 10:15am - 11:00am
(4) Ski u Mah McNamara Alumni Center, 200 SE Oak St, Minneapolis, MN 55455, USA

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