AAISM identifies supervised learning as involving:
• labeled categories
• ground-truth datasets
• model training with known outcomes
This aligns exactly with categorizing data and training on labeled datasets.
Reinforcement (B) involves reward feedback loops. Unsupervised (C) uses unlabeled data. "Machine learning" (D) is too broad and not a specific technique.
[References: AAISM Study Guide – AI Learning Types; Supervised Learning Definition., ============================================, ]
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