So what then is ML? As the word may hint, it's the ML to do something. Machines cannot learn the same way as humans can, but they can definitely emulate some parts of human learning. But what are they supposed to learn? Different algorithms learn different things, but the shared themes are that the machines learn a program. Or to put in less specific terms, the machine learns to do the correct thing.
What then is the correct thing? Not wanting to open a philosophical can of worms, the correct thing is what we, as human programmers of the computer, define as the correct thing.
There are multiple classification schemes of ML systems, but amongst the most common classification schemes, is one that splits ML into two ...
