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Lunch and Learn Slides For Febuary 16, 2023

Links to primary sources provided in each slide.  I've misplaced the LaTeX files for this talk so I'm using those I made in 2019.  

Many thanks to Jay Hineman for helping me prepare.

https://geomdata.com/

https://www.linkedin.com/in/jay-hineman-8279138

A really great video on homology.

https://www.youtube.com/watch?v=ymF1bp-qrjU

Papers and articles on topological data analysis and persistent homology.

https://mrzv.org/publications/persistent-homology-theory-practice/ecm/

https://joss.theoj.org/papers/10.21105/joss.00925

https://towardsdatascience.com/persistent-homology-with-examples-1974d4b9c3d0

https://orbyta.it/tda-in-a-nutshell-how-can-we-find-multidimensional-voids-and-explore-the-black-boxes-of-deep-learning/

Computational topology in action

https://kepler-mapper.scikit-tda.org/en/latest/

https://www.ctralie.com/Software/

Lunch and Learn Slides from October 20, 2022

Links to primary sources provided in each slide.  Slides may be works in progress.