Unsupervised Learning is a Machine Learning technique where models learn patterns and structures within data without labelled examples. By uncovering hidden relationships and clustering data, businesses can gain insights without predefined classes or outcomes. Unsupervised Learning finds applications in customer segmentation, market basket analysis and anomaly detection.
Instance-Based Learning is an AI approach where models make predictions based on similarity to previously seen examples. Instead of generalising from a predefined set…
