3 ms·
Awesome! This seems like a big and hard problem to tackle. I'm also in the ML space; my only recommendation (and I can't say anything in terms of energy because
by santiagobasulto 5y ago
Awesome! This seems like a big and hard problem to tackle. I'm also in the ML space; my only recommendation (and I can't say anything in terms of energy because I'm a complete ignorant in the matter) is: try to contribute as much as possible to Open Source. Most AI-based profitable companies seem to find good market traction after leveraging Open Source esteem and renown.
Best of luck!
PS: I'm from Argentina and I've also made for-life friends playing Ultimate :)
- Straw 5y agoHi, thanks for the advice! How would you balance maintaining an open source presence with maintaining a technological advantage based on our ML techniques in the space? We've put a lot of effort into finding modelling approaches that work in the high-noise, heavy-tailed, limited data environment, so we feel we can't just give them away. P.S. Yeah, its the best! And for some reason it seems to attract all the nerds :)