Machine learning on small data, oh you mean statistics? I'm trolling a bit here, but this is what domain experts and scientists have been doing for about a cent

Machine learning on small data, oh you mean statistics? I'm trolling a bit here, but this is what domain experts and scientists have been doing for about a century. It's a much harder area to hang out in, and pays way less unless you are a world expert consultant. Stakes are often higher. I used to do this stuff, but there's so much hype around ML it's basically impossible to survive in industry even if you do very good work. For example if you create a model catered to a system and it takes two weeks but is as correct as it can be given what's known about the system, your manager will turn their chin too it while trying to find startups to buy(yes buy the company) that claim they can solve it with deep learning. The startups run away once they learn each sample costs 10k USD or deliver a boosted decision tree model that under performs, but it got so old I changed careers.