4 ms·
In theory it is a great fit for ML. But not for the reasons you're suggesting. The success of a compression scheme ultimately comes down to its ability to esti
by andbberger 7y ago
In theory it is a great fit for ML. But not for the reasons you're suggesting.
The success of a compression scheme ultimately comes down to its ability to estimate p(x), for some sample x. And estimating p(x) is precisely the problem the field of ML addresses.