2 ms·
Biology is a tough nut to crack with boatloads of computational irreducibility, some of which we know about, some of which we don't. I've seen so many problems
by COGlory 3y ago
Biology is a tough nut to crack with boatloads of computational irreducibility, some of which we know about, some of which we don't.
I've seen so many problems get hung up on two things:
1) It was a SNR problem at the point of data measurement, and no amount of ML can fix that.
2) It's a computational irreducibility problem that was mistaken for a convolution
Of what you listed, the penultimate honestly sounds the most realistic and least pie-in-the-sky. Personally, I'd avoid anything predictive because of the two issues I mentioned. It can be done for some things, but it's really quite difficult to tell for what.