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Error-Driven Learning - What is the term for a type of machine learning where the algorithm learns from its mistakes?


Error-driven learning has several advantages over other types of machine learning algorithms: They can learn from feedback and correct their mistakes, which makes them adaptive and robust to noise and changes in the data.