What is supervised vs unsupervised learning?
Supervised learning: Models learn from labeled data (e.g., emails labeled spam or not spam). This concept is a core part of many AI Machine Learning Courses that teach how algorithms improve using structured datasets.
Unsupervised learning: Models find patterns in unlabeled data (e.g., customer segmentation), allowing AI systems to discover hidden insights without predefined labels.
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