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Related Questions
- What are the primary goals of active learning in machine learning?
- How does active learning differ from semi-supervised learning in terms of data availability?
- Can you explain the concept of uncertainty sampling in active learning and its applications?
- What are the benefits of using active learning in real-world applications compared to traditional supervised learning?
- How does active learning handle imbalanced datasets, and what techniques are used to address this issue?
- What is the role of human-in-the-loop in active learning, and how does it impact the learning process?
- Can you compare and contrast active learning with transfer learning in terms of knowledge reuse and adaptation?
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