Re:Machine learning has become alchemy (2017) [video]
by berkut on Wednesday December 26, 2018 @12:54AM
(#18760844)
I'd agree with this assessment 100% - ML can achieve some very impressive results - in my domain (computer graphics for movie VFX) with regards to image generation / identification / modification, e.g. denoising for the latter - however the result is almost always effectively a black box of functionality which:
A: isn't always understood what it is actually doing or how.
B: often needs to be retrained when input data varies slightly outside original training data - this is expected at a technical level, but is annoying in practice and often then starts deviating and losing its effectiveness or gets inconsistent results with larger less homogeneous input data sets.
C: Can't really (at least easily) be used as a stand-alone / packaged component/library to re-use nicely in other places as a conventional algorithm would be.
Re:Machine learning has become alchemy (2017) [video]
by groestl on Wednesday December 26, 2018 @05:17AM
(#18761501)
I like that all of the issues you bring up around ML can be read as applying to a human expert/craftsperson as well! (still with a wider margin, of course)
A: isn't always understood what it is actually doing or how.
B: often needs to be retrained when input data varies slightly outside original training data - this is expected at a technical level, but is annoying in practice and often then starts deviating and losing its effectiveness or gets inconsistent results with larger less homogeneous input data sets.
C: Can't really (at least easily) be used as a stand-alone / packaged component/library to re-use nicely in other places as a conventional algorithm would be.