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Topological Data Analysis for Machine Learning Lecture II: Computational Topology

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In which we discuss a multi-scale variant of simplicial homology, viz. persistent homology, provide copious examples, and show that everything—once again—boils down to neat linear algebra calculations. (this video is part of a lecture at ECML PKDD 2020, the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases)

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