What is unsupervised learning? Unsupervised learning, also known as unsupervised machine learning, uses machine learning (ML) algorithms to analyze and cluster unlabeled data sets. These algorithms …

Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled data. [1]

Unlike supervised learning, unsupervised machine learning models are given unlabeled data and allowed to discover patterns and insights without any explicit guidance or instruction.

Unsupervised learning is defined as a type of machine learning where the algorithm trains on an unlabeled dataset to identify patterns or structures in the data without known outputs.

Oct 15, 2025 · Unsupervised learning aims for the algorithm to uncover patterns and structures in a data set without your guidance beforehand. Essentially, you give the algorithm a data set, and it must …

Aug 26, 2024 · Unsupervised learning is a type of machine learning (ML) technique that uses artificial intelligence (AI) algorithms to identify patterns in data sets that are neither classified nor labeled.

Jul 29, 2025 · In supervised learning, the model is trained with labeled data where each input has a corresponding output. On the other hand, unsupervised learning involves training the model with …

Mar 24, 2025 · Unsupervised learning is a type of machine learning where the model analyzes data without predefined labels. Unlike supervised learning, which requires labeled data, unsupervised …

Oct 9, 2025 · Unsupervised learning works with data that has no predefined labels. The model identifies patterns, clusters or associations independently. The key characteristics of unsupervised learning …

Jul 26, 2025 · Unsupervised learning is life itself—messy, open-ended, and full of moments where we discover things we didn’t even know we were looking for. Consider how we learn language.