3 ms·
But can you lead in (2) without being good at (1)? If you train on limited data, then your inferences will be of poor quality, even if they have low latency.
by antipaul 6y ago
But can you lead in (2) without being good at (1)?
If you train on limited data, then your inferences will be of poor quality, even if they have low latency.
So in sum, it seems you can't be a leader in ML without both.
- moandcompany 6y agoYou can lead in (2) with good enough (1). Being a leader in (1) does not mean you'll be good at (2), and vice versa. There's also a difference between limited data and good enough data. If you train on good enough data, you can have good enough models. If people believe the focus of AI/ML should just be precision/recall, or other measures of accuracy, and having tons of data, they're missing many other areas and elements for what make AI/ML successful in application.