Machine learning can be treated as a ______ because it is difficult to interpret the data insight the model used and also how the values from the model are being calculated and how it should be communicated to the ______ and other concerned organisations.
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Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.
Recommendation engines are a common use case for machine learning. Other popular uses include fraud detection, spam filtering, malware threat detection, business process automation (BPA) and predictive maintenance.
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