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Related Questions
- What is the primary goal of active learning in machine learning?
- How does active learning select the most informative samples for labeling in a dataset?
- What are the main benefits of using active learning in scenarios with limited training data?
- Can you explain the different types of active learning methods, such as uncertainty sampling and query-by-committee?
- How does active learning impact model performance and accuracy in low-data regimes?
- What are some challenges and limitations of implementing active learning in real-world machine learning applications?
- How can active learning be combined with other techniques, such as transfer learning and data augmentation, to address data scarcity?
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