A couple of months ago I started learning Erlang for fun after watching a
talk about Joe Armstrong and from there went on to further learn Elixir
to some extent overall liking it a lot. At work I mostly deal with Python and
have to deal with large data sets acquired by measurement hardware.
The data is 3 dimensional and typically saved to hard drive in the .npy format.
I wondered if it is possible with Nx to perform least squared optimization (numerical fits)
on the GPU? This would allow me to speed up the process a lot maybe even allowing
real time analysis of the data.
