Join us for a friendly tour of topological data analysis. We’ll explore how shapes, holes, and features across scales—via simplicial complexes, the nerve theorem, the mapper algorithm, and persistent homology—reveal structure in data. Expect intuitive explanations, real-world examples from biology, materials science, neuroscience, and more, plus practical notes on challenges like noise and parameter sensitivity.

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

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