Topological Data Analysis for Machine Learning I: Algebraic Topology

In which we discuss an introduction to computational topology, the utility of Betti numbers, simplicial homology (with examples) and simplicial complexes, as well as how to compute all of this manually. (this video is part of a lecture at ECML PKDD 2020, the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases)