admin In this instance, the algorithm is given no data labels whatsoever and is therefore left to find structures and patterns in data. This type of learning is obviously less structured than the supervised type, and therefore is less focused on the output data and more focused on any hidden patterns which it may well be able to discern. This is important when considering that data labelling often imparts conscious or unconscious human bias into the learning process.
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