Geometry and topology are reshaping how we think about data. The Shape of Data explores how structure, distance, and dimension impact machine learning—covering networks, manifolds, TDA, and quantum methods.
Case studies span text, survey, medical, and social data, with accessible math and real code examples in R (Python too). A valuable reference for anyone working in geometric or graph-based ML.