<ul><li>Supervised Learning is a machine learning method that uses labeled data to make predictions on unseen data.</li><li>Examples of supervised learning include spam detection, credit scoring, medical diagnosis, and image recognition.</li><li>Unsupervised Learning is a machine learning method that finds patterns in unlabeled data without predefined outputs.</li><li>Examples of unsupervised learning include customer segmentation, anomaly detection, recommendation systems, and genetic data analysis.</li></ul>

Supervised vs Unsupervised Learning: Key Differences Explained

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