Deep Unsupervised Learning for Climate Informatics with Claire Monteleoni - #497

This article from Practical AI discusses a conversation with Claire Monteleoni, an associate professor at the University of Colorado Boulder, focusing on her work in climate informatics. The interview covers her career path, research interests, and the application of machine learning to climate science. A key highlight is her keynote at the EarthVision workshop at CVPR, which centered on deep unsupervised learning for studying extreme climate events. The article provides insights into the intersection of machine learning and climate science, highlighting the potential of unsupervised learning in this field.