This all-day workshop will show you, step by step, how to build a machine learning model that can understand and use geographical data. This workshop is perfect for people who know some basic Python programming and are curious about machine learning and AI. We'll be using Python and Google Colab Notebooks for our exercises. Don't worry if you've never used Google Colab or Notebooks before; we'll help you get started. By the end of the day, you'll gain knowledge and hands-on experience to make your own geospatial machine-learning model. Learn in a fun and supportive setting!
Dr. Eric Shook, University of Minnesota
Eric Shook is an Associate Professor at the University of Minnesota's Department of Geography, Environment, and Society, where he also directs the GeoCommons, a hub for geospatial research, education, and public engagement. Additionally, he co-directs the Master of GIScience program and co-leads education and workforce development for the NSF-supported I-GUIDE institute. His research spans geographic information science and computational science, focusing on geospatial computing. Dr. Shook is committed to education, teaching GIScience, geospatial computing, geospatial data science, and geoAI.
This is an in person workshop and will not be recorded.
Seats available: 20
Date: March 22, 2024
Time: 9:30am - 4:00pm
Location: Cowden Hall room 124 - Lunch is included and will be in Cowden 105
Workshop Fee: $50.00
Registration is closed.