[D] Resources for more theoretical topological machine learning
I’m trying to wrap my head around this paper https://arxiv.org/abs/1805.11783 and albeit I have an ok understanding of Topology (undergrad level I would say), a lot of what is in that paper goes over my head.
What are good prerequisites to read a paper like that? Any resources? Any good books on topological learning/ topological data analysis?