Question: What are the three common approaches to training machine learning programs?
- Supervised learning
- Reinforcement learning
- Unsupervised learning
- Collaborative learning
Explanation
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.
Why the other options are incorrect
Collaborative learning is incorrect because it is not one of the standard machine learning training approaches in this context.
Source for verification
https://cloud.google.com/learn/what-is-machine-learning
https://developers.google.com/machine-learning/glossary
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