What distinguishes machine learning from traditional software?
Classic software follows fixed rules that are defined by developers. Every decision is based on clearly programmed if-then logics.
Machine learning works differently. An AI model is not written with fixed rules, but trained with data. It recognizes patterns in historical information and learns from this to make forecasts or evaluations independently.
While classic software executes exactly what was programmed, a machine learning system develops its behavior independently from the data with which it was trained.
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