Unsupervised

Type of machine learning that learns from unlabeled data and discovers patterns and insights without human supervision. Unsupervised learning algorithms are used for clustering, association, and dimensionality reduction, providing valuable insights and data organization without predefined labels. This approach is beneficial for data scientists and analysts looking to explore and understand large datasets without prior knowledge of the data structure.

Unsupervised was discovered on May 28th 2021 and it currently has a search volume of 9.9K with a growth of +53%.