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Related Questions
- What is the primary goal of active learning in machine learning, and how does it differ from traditional supervised learning?
- How does active learning help to identify the most uncertain or informative samples in a dataset, and what methods are used to select these samples?
- Can you explain the concept of pool-based active learning, and how does it facilitate the creation of more diverse and representative training datasets?
- How does active learning enable the reduction of labeling effort and cost in large-scale datasets, and what techniques are used to achieve this?
- What is the relationship between active learning and transfer learning, and how can active learning be used to improve transfer learning in deep neural networks?
- How does active learning enable the creation of more efficient and effective human-in-the-loop training processes, and what are the benefits of this approach?
- Can you discuss the challenges and limitations of active learning, particularly in terms of the quality and quantity of the training data, and how can these challenges be addressed?
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