machine learning systems
also referred to as: machine learning system
5 statements across 3 episodes · 4 bullish · 0 bearish · 3 people on the record · first statement Jun 16, 2017 by Tim Hwang · across every show →
Everything said about machine learning systems, oldest first
Jun 16, 2017 bullish
Hwang: AutoML could eliminate the need for machine learning specialists
“This emerging research right now, which is using machine learning to train machine learning systems, raises, like, this meta level, where, like, right now there's a lot of handwork that goes into building a model so it learns the right representations, but, li…”
Jun 16, 2017 neutral
Hwang: The assumption that all automatable tasks will be automated is false
“Everybody always assumes that like, okay, if it can be automated, it definitely will be automated, right? But that's like a fallacy, because in certain cases, like, you may really worry about the security of your systems, right?”
Nov 8, 2017 positive
Nov 8, 2017 positive
Brockman: Keep Machine Learning Cores Minimal and Surround Them with Engineering
“You actually try to make that core be as small as possible because machine learning is really hard. It's a lot of compute. It's really hard to tell what's going on there. And so you want it to be as simple as possible, but then you surround it by as much engin…”