Discussion
What distinguishes machine learning from earlier symbolic approaches?
Answer: C
In a learned system the mapping from input to output is fitted from examples rather than specified by a programmer, which sidesteps knowledge acquisition and copes with problems nobody can articulate rules for. The price is a dependence on data and a loss of transparency. Speed and numerical restriction are not the distinction, and evaluation becomes more rather than less important. Where the behaviour comes from is the deepest division within the field.
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