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Related Questions
- What are the key benefits of active learning in reducing the need for labeled data?
- How does active learning help improve the accuracy and efficiency of machine learning models?
- What are the different strategies used in active learning to select the most informative samples for labeling?
- Can you explain the concept of uncertainty sampling in active learning and its applications?
- How does active learning compare to other methods for reducing the need for labeled data, such as transfer learning?
- What are the challenges and limitations of implementing active learning in real-world machine learning applications?
- Can you discuss the role of human-in-the-loop in active learning and its impact on model performance?
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