Ans: The main difference between supervised and unsupervised machine learning is that supervised learning uses labeled training data, while unsupervised learning works with unlabeled data. In supervised learning, the algorithm learns to map inputs to known outputs. Unsupervised learning finds patterns or structures in data without predefined labels.