Optimal Transport and Information Geometry for Data Science

I am giving a talk on Optimal Transport and Information Geometry at the SIAM Conference on Mathematics of Data Science (MDS22).

The talk is intended to be an introduction which doesn't assume any background on either subject, although I did assume some familiarity with probability measures. Also, I tried to mention some ways in which these theories can be useful for practitioners actually working with data. If you're interested, here is a recorded version which is available on Youtube.

[https://youtu.be/EauDdCzxphE](https://youtu.be/EauDdCzxphE) …

data data science datascience geometry information science transport