3 ms·
They're not rubbish, they have their uses. You kind of outlined where deep learning tends to shine - when you have large amounts of data and massive CPU infras
by bduerst 11y ago
They're not rubbish, they have their uses. You kind of outlined where deep learning tends to shine - when you have large amounts of data and massive CPU infrastructure. Pattern recognition and machine learning work, but typically require more manual overhead than throwing tons of data at "dumb" algorithms to achieve the same output.
In end, you need both the algorithms and the data to do the work, and choosing between the two leaves you still wanting the other.
- fauigerzigerk 11y agoOf course, and I don't seriously claim that they are rubbish. They are useful and I admire some of the people who have developed them. But I think we need to question why data seems to have this outsized value compared to algorithms. I don't think it is some sort of information theoretical invariant. It's a relationship between the specific algorithms and the specific sort of data we have.