> There's a lot of discussion of "big data" but small data is amazingly powerful too. You can oftentimes do surprisingly well on a smaller dataset with proper

> There's a lot of discussion of "big data" but small data is amazingly powerful too. You can oftentimes do surprisingly well on a smaller dataset with proper augmentation. Unfortunately augmentation techniques don't seem to get quite as much attention as they deserve, perhaps because they're perceived in ML conferences as problem-specific hacks rather than general-purpose techniques.