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What is unsupervised learning and how can AI learn on its own?

By: Roberto Ibañez Supervised and unsupervised algorithms are a traditional way of dividing problem types within machine learning. The difference between the two is that, in a supervised network, “labeled data” is given as training input, so the algorithm learns to solve a task with known values iteratively. In contrast, in an unsupervised network,

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