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Podcast: The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Episode: Geometric Statistics in Machine Learning w/ geomstats with Nina Miolane
Description: In this episode we’re joined by Nina Miolane, researcher and lecturer at Stanford University. Nina and I spoke about her work in the field of geometric statistics in ML, specifically the application of Riemannian geometry, which is the study of curved surfaces, to ML. In our discussion we review the differences between Riemannian and Euclidean geometry in theory and her new Geomstats project, which is a python package that simplifies computations and statistics on manifolds with geometric structures.