Paradigma machine learning di mana model belajar dari dataset berlabel (input-output pairs). Klasifikasi, regresi, object detection.
Supervised learning butuh data berlabel. Algoritma: linear regression, decision trees, SVM, neural networks. Tantangan: butuh banyak data berlabel, overfitting.