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SUMMARY:Rachel Kinard
DTSTART:20231003T180000Z
DTEND:20231003T195000Z
DTSTAMP:20260422T174122Z
UID:tandg/8
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/tandg/8/">Sh
 eaves as a Data Structure</a>\nby Rachel Kinard as part of Topology and Ge
 ometry Seminar (Texas\, Kansas)\n\n\nAbstract\nThe word “Topology”\, b
 est known for its association to the study of invariants of an abstract sp
 ace\, is a branch of Pure Mathematics whose best known applications are fo
 und in Physics (Quantum Mechanics\, Quantum Field Theory). Very rarely doe
 s a Pure Math Field find such as Topology find relevance in a world of Big
  Data and computer automation. Data Science utilizes these powerful topolo
 gical invariants to quickly gather information about complex data spaces i
 n a brave new area of study called “Topological Data Analysis” or TDA.
  Given a set of data points\, the nerve construction produces a simplicial
  complex that can be analyzed to understand important characteristics of t
 he data. I will provide an introduction to TDA and a few examples of surpr
 ising Data Science applications.\n
LOCATION:https://researchseminars.org/talk/tandg/8/
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