Unsupervised Representation Learning (URL) is a type of machine learning technique used to learn meaningful representations of data. It is an unsupervised learning technique that focuses on extracting meaningful patterns from unlabeled data, allowing the machine to learn automatically without the need for explicit labels. The goal of URL is to create a representation that captures the underlying structure of the data, making it easier for machines to interpret and use for further tasks.