How can you tell if an algorithm is actually "learning"?
Hi all!First post here, so I’m going with a basic, more philosophical question.How can you tell if an algorithm is actually “learning” anything at all?What is the “learning” part of machine learning in the first place anyway?Yeah yeah, I know, Markov processes and whatnot. Well, that means almost nothing to me at the moment so can someone please put it in plain English?What about more probabilistic approaches?Thanks!Noob.