What are the three common approaches to training machine learning programs?
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Correct answer: Supervised learning, Reinforcement learning, Unsupervised learning.
Why this is the answer
Machine learning programs can be trained through labeled examples, pattern discovery without labels, or feedback from rewards. Labeled data supports prediction when expected outputs are already known. Unlabeled data supports finding hidden patterns or groupings. Reward-based feedback supports learning actions through trial, outcome, and adjustment.
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