Machine Learning, Non Euclidean, Hyperbolic Geometry, Data Science, Euclidean Distance.
example, in NLP, we typically want two words that are semantically close to each other to also be close to each other in their n-dimensional representations (embeddings). Though, as I progressed in my personal reading, I came across non-Euclidean geometry. The authors seemed to argue that it was