Why fitting/training a model can be considered as learning? I was looking around and I can't find a good answer, I just want to know why it can be considered as learning and is not just &quot;calibration&quot; or &quot;parametrization&quot;.
I feel the word &quot;learning&quot; is overqualified for the things the models do.
Thanks in advance.
When a baby tunes the connections between neurons in his brain until he can recognize a dog and say &quot;this is a dog!&quot; we say that he learned.
Why wouldn't we say the same about neural networks (or other models) that happened to be inside a computer and not in a human brain?