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.
Synthetic Data is artificially generated data that mimics real-world data. Synthetic data can be used to train Machine Learning models when real data is…