3 ms·
This is where we break out the old Zawinski quote: Some people, when confronted with a problem, think “I know, I'll use regular expressions.” Now they
by rrmm 11y ago
This is where we break out the old Zawinski quote:
Some people, when confronted with a problem, think
“I know, I'll use regular expressions.”
Now they have two problems.
I actually had to tell someone this who wanted to build a machine classifier. They wanted the classifier as a step in getting data for their research. The problem was as far as I knew in the literature building the classifier would be a research project of its own.
- joe_the_user 11y agoIndeed, Most of (relative) successes of machine learning have involved a circuit something like (input data) --> ML --> (human acceptable output) We see this in translation, image classification, face recognition. But if we a circuit of (input data) --> ML --> (data for further significant processing by computer) We have a problem. The ML can't be a real "black box" at all here in the sense it can't learn the correct classifications without regard to how those classifications are going to be used. Since it's learning "what humans do", the code can't be that much more reliable than humans but it also has the problem of not being adaptable in the fashion that humans (sometimes) are adaptable.