1. Why Geometry?
2. Introduction to Network Data
3. Network Analysis
4. Beyond Networks
5. Geometry in Data Science
6. Other Applications of Geometry in Machine Learning
7. Topological Data Analysis
8. Algorithms Related to Homotopy
9. Working with Language
10. Computational Solutions for TDA Algorithms
The chapters in red are included in this Early Access PDF.