Supervised learning algorithms are used across many domains. Common applications include: Bioinformatics – recognizing and classifying biological information such as fingerprints, iris texture, and earlobe shape. Speech recognition – using classification and regression to recognize spoken words. Spam detection – classifying messages and emails as spam or legitimate. Object recognition for computer vision – identifying objects in images or video.