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Machine learning is a subset of Artificial intelligence where the focus is to create machines that can simulate human intelligence. One critical distinction between artificial intelligence and machine learning is that machine learning models "learn" from the data the models get exposed to. Arthur Samuel, a machine learning pioneer back in 1959, defined machine learning as a " field of study that gives computers the ability to learn without being explicitly programmed" . A machine learning algorithm trains on a dataset to make predictions. These predictions are, at times, used to optimize a system or assist with decision making.
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