Supervised vs. Unsupervised Learning Models

Distinguish between regression (continuous), classification (discrete), and clustering (unlabeled data).

Core Machine Learning Paradigms

Supervised Learning: Training data includes labeled ground truth targets (e.g. predicting house prices or spam detection).

Unsupervised Learning: Algorithms discover intrinsic hidden patterns and clusters without target labels (e.g. customer segmentation).

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Which type of learning involves training models on input features paired with known ground-truth labels?