Henry Adams (5/3/22): Topology in Machine Learning

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Abstract: How do you "vectorize" geometry, i.e., extract it as a feature for use in machine learning? One way is persistent homology, a popular technique for incorporating geometry and topology in data analysis tasks. I will survey applications arising from materials science, computer vision, and agent-based modeling (modeling a flock of birds or a school of fish). Furthermore, I will explain how these techniques are related to the local geometry of a dataset and to explainable machine learning.

  1. Applied Algebraic Topology Network
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Very well-explained Prof. Henry Adams !! I like this video!!

pegkemmeka