4 ms·
I mean that how machine learning works, right? Millions or billions of iterations to tune some algorithms to output some data which satisfies a success metric.
by dartos 2y ago
I mean that how machine learning works, right?
Millions or billions of iterations to tune some algorithms to output some data which satisfies a success metric.
- danielmarkbruce 2y agoAI should be renamed "Brute Force Statistical Computing". BFSC. It is what it is.
- nick3443 2y agoIt's stochastic gradient descent, so slightly better than blind brute force
- danielmarkbruce 2y agoThere are various optimizers... but sure, it's slightly better than brute force. SBTBFSC.
- lores 2y agoIndeed, and "hyperparameter tuning", i.e. "try every combination but give that an impressive name so people don't raise their eyebrow at us"
- marcosdumay 2y agoThere's nothing on machine learning that makes convergence inherently hard. And there's certainly something we are doing wrong that makes it so data-intensive.
- dartos 2y agoI think we need so much data for deep learning because of the sheer number of parameters in these models. On the order of 100s of billions