Using a cache as an example feels off. I mean, yes. To a large degree, machine learning is fancy statistics done by the computer. And, to a large degree, caching is keeping the data that is statistically most likely to be accessed again.
However, my understanding is the classic algorithms for caching have yet to lose to the new machine learning ones. Has that changed?
However, my understanding is the classic algorithms for caching have yet to lose to the new machine learning ones. Has that changed?