Translation: Unsupervised learning is a type of machine learning in which models work with data that contains no labels. The model identifies structure or patterns within the data, such as grouping similar items or detecting common features. Examples include clustering customers according to purchasing behaviour in retail settings such as Amazon, where customers who buy boxes may also buy tape, or where people who buy dummies may also buy nappies. Other examples include grouping documents by themes such as chemistry, mathematics, or English, and organising songs or films by features such as tempo, genre, or mood.