Supervised and unsupervised learning are two primary approaches in machine learning, each used for different types of tasks. Here’s a breakdown of their differences: 1. Definition and Purpose Supervised Learning: In supervised learning, the model is trained on labeled data, meaning each input is paired with a correct output. The goal i