Supervised vs. Unsupervised Machine Learning: How to Choose the Right Approach (opens in new tab)

Supervised vs. Unsupervised Machine Learning: How to Choose the Right Approach Supervised learning trains a model on data that's already labeled with the correct answer, so it learns to predict outcomes for new, unseen examples. Unsupervised learning works on unlabeled data and finds patterns or groupings on its own, without being told what the "right answer" looks like. Use supervised learning when you have historical examples of the outcome you want to predict; use unsupervised learning whe...