What distinguishes machine learning from classical software?
Classical software follows fixed rules defined by developers. Every decision is based on clearly programmed if-then logic.
Machine learning works differently. An AI model is not written with fixed rules but trained on data. It recognizes patterns in historical information and learns from them to make predictions or assessments independently.
While classical software executes exactly what was programmed, a machine learning system develops its behavior autonomously from the data it was trained on.

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