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AI is split into symbolic AI, which uses rules to figure out how to act, and machine learning, which acts on data. Supervised machine learning tries to mimic data it is given (if it’s given images labeled “dog” and “cat”, it will try to learn the patterns and classify future images into “dog” or “cat”). Unsupervised machine learning draws patterns and points out interesting things in data it is given.
