Supervised vs Unsupervised Learning
Supervised and unsupervised learning are two fundamental machine learning approaches used to train AI models. Supervised learning relies on labeled data to make predictions, while unsupervised learning identifies hidden patterns in unlabeled data. This guide compares their methods, benefits, limitations, and practical applications to help you understand when to use each technique.