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Machine learning: the problem setting¶. In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a -dimensional entry (aka variate data), it is said to have several attributes or features.. Learning problems fall into a few categories:

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