Opening up and releasing my chest, t-spine and pelvic floor has been a long and slow process (8 months so far) but I’m finally relearning proper movement.
American liberal arts programs are design to provide a very broad education, so Computer Science majors will still take a bunch of courses in the humanities - or even double-major (my other degree is in Philosophy, and many of my classmates double majored in things like History or Political Science).
And this is very much already a vetted approach. They use photonics circuits to implement random projections, which can be used to speed up t linear algebra in modern ML workflows. It’s no magic monocle, rather a pretty interesting co-processor racked away in some data center.
My Python package uses a C extension for performance. That C extension uses AVX2 intrinsics. How well does Julia support intrinsics?
Even supporting something like __builtin_popcountll() would be nice, but http://rosettacode.org/wiki/Population_count#Julia suggests that it's not supported in Julia.
I've no experience with Julia and my attempt at finding this out on my own failed - does anyone here know about Julia's support for intrinsics?
And being rough around the edges is an ok price to pay for not losing an ecosystem.
Most pre- and post- processing (with the exception of visualization) should probably be a part of your model!