Master optimal transport theory for machine learning, computational geometry, and probability applications using Wasserstein metrics and gradient flows. Learn from leading mathematicians through specialized lectures on YouTube, covering entropic regularization, PDEs, and cutting-edge computational methods for data science and AI research.
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