Training: IntroML workshop, March 22

We hosted researchers from physics, geosciences, economics, psychology, archaeology, genetics, rhetoric, and more for our first Introduction to Machine Learning workshop. Topics covered included machine learning paradigms, with a focus on supervised learning, examples of ML in science, and practical ML. We wrapped up with a few participants presenting their own research questions and data to the group, followed by a discussion of data modalities, evaluation metrics, appropriate machine learning paradigms, and potential models. We’re looking forward to hearing more from this talented group of people!