Unsupervised Machine Learning

Unsupervised Machine Learning is a type of machine learning in which patterns within data are derived by a machine learning algorithm. Unlike supervised learning, training data is not pre-labeled. A common use of unsupervised learning is to use marketing and customer data to derive market segments; or, to use credit card transaction data to detect anomalies in purchase patterns that may indicate fraud.

Deeper Knowledge on Unsupervised Machine Learning

Generative Pre-trained Transformer (GPT)

An architecture to use unsupervised learning to generate human-like language

Semisupervised Learning

Machine learning that uses partially labeled input as training data

Broader Topics Related to Unsupervised Machine Learning

Types of Machine Learning

An overview of the types of machine learning