A way of building AI where a system learns patterns from data instead of being explicitly programmed with rules for every situation.
Instead of a programmer writing 'if X then Y' for every case, an ML model is shown many examples and learns the pattern itself — which is why more (and better) data usually makes it more accurate.
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