2 ms·
Tbh, often enough, linear regression is exactly what is needed.
by tasuki 7mo ago
Tbh, often enough, linear regression is exactly what is needed.
- idiotsecant 7mo agoYes, and we do it every day and call it 'linear regression' and don't need a data center full of expensive toys to do it
- mpierini 7mo agoYou do unsupervised learning without labels with a linear regression. Interesting. What would you regress in this case? The problem is the following: you have a point cloud of data (electronic signal from arrays arranged into an irregular pattern). You know the physics that was discovered. You are looking for rare events (one in a billion or less) and you don’t know what they look like.
- mpierini 7mo agoAnd you think we did not try linear regressions? This is what we used to do 20 years ago. Then we gained two orders of magnitude in signal-to-background discrimination. And since our data are not even images, off-shelf solutions mostly don’t apply. Try to process40 MHz of incoming collisions (1 MB each) within 100 nsec with a linear regression of point-cloud data. When you are done trying, try to think that maybe (maybe…) life is not as easy as bread&butter. If you succeed, come and knock at CERN’s door. Maybe we will let you in…