Machine learning terminology is a mess
June 13, 2021 —
~nfg
Here, I nitpick and whine about things that are really quite alright. This is catharsis, not commentary.
From the glossary of a google ML course:
Embedding:
A categorical feature represented as a continuous-valued feature. Typically, an embedding is a translation of a high-dimensional vector into a low-dimensional space.
Ignoring the fact that this description is a little prohibitive to a someone not learned in vector maths, this just sounds like an Encoding, no?
It’s just a different representation of the same data, we arent Embedding anything into anything else really, just reformatting the same stuff.