Machine Learning in a Non-Euclidean Space
Chapter I. Why you should learn about non-Euclidean ML
Published in
10 min readJun 16, 2023
“Is our comfortable and familiar Euclidean space and its linear structure always the right place for machine learning? Recent research argues otherwise: it is not always needed and sometimes harmful, as demonstrated by a wave of exciting work. Starting with the notion of hyperbolic representations for…
