Parker Erickson - Baseball, GCNs and the Next Generation of AI Practitioners

Conversations on Applied AI - Stories from Experts in Artificial Intelligence

Our guest today is Parker Erickson! Parker is currently a student at the University of Minnesota pursuing a B.S. in Computer Science. Interested in machine learning, artificial intelligence, and graph databases. He’s also been a software engineering Intern at Optum and has developed, among many things a fraud detection system using graph databases and machine learning. The system is currently in the patent process.
In this episode, Parker shares some of the projects he has built while his time at Optum and a number of others that he’s building in his own spare time. You can check out Parker’s Github account for all the gory details.
Finally, if you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future Applied AI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!

• Emerging Technologies North
• AppliedAI Meetup

Here's just a few of the many fun and interesting topics discussed during this podcast:

• Graph Convolutional Neural Networks
• AI Racing League
• Baseball Pitch Prediction
• AlphaGo Documentary
• The Master Algorithm
• The Book of Why
• Genetic Algorithm
• Software 2.0
• Linear Regression
• StatCast
• PyBaseball
• Wins Above Replacement ( WAR )
• Parker's Medium Blog

Enjoy!
Your host,
Justin Grammens