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.
Artificial Neural Networks are computational models inspired by the human brain’s structure and function. They consist of interconnected nodes that process and transmit data,…
