I mainly learned linear algebra via hands-on 3D graphics, and have a hard time thinking about a matrix as anything other than 4x4 and representing a linear transform...
How much do you even think about explicit matrix math when doing high-level ML?
How much do you even think about explicit matrix math when doing high-level ML?
The whole ML field is basically about starting from random points and trying to find useful shapes and constraints. Basically like trying to get object likeness in clouds