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Related Questions
- What is the key difference between active learning and traditional supervised learning in terms of model training efficiency?
- Can you explain how active learning reduces the need for large labeled datasets compared to traditional supervised learning?
- How does active learning enable models to learn from a smaller amount of labeled data?
- What are the primary benefits of using active learning in machine learning model training?
- How does active learning improve the model's ability to generalize to unseen data compared to traditional supervised learning?
- What are the common methods used in active learning to select the most informative samples for labeling?
- Can you provide an example of a real-world application where active learning has improved the efficiency of model training?
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