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This is a Campus Partner event by the Data Cooperative and the UA Libraries.
Machine learning has been all the rage, but there remains a lot of mystery about what machine learning really is. In this workshop, we will use the R programming language to work through an example of how we use machine learning to make predictions and how to assess how good those predictions really are. The material is designed for people who have little to no experience with machine learning.
All sessions (view the full R and Python schedule here) will be 9-11 AM on Tuesday morning (MST) in hybrid format: we will be in the Data Studios of the Main Library and running a concurrent Zoom session.
For information on connecting to online sessions, reach out to us on the r channel of the UA Data Science Slack workspace or contact Jeff Oliver.
To get the most out of these workshops, participants should bring a laptop with R and RStudio installed.