AI systems need to continually learn from new data to perform well in real-world scenarios. However, it is non-trivial to decide what new data needs to be labeled for training, and what is the best workflow and user interface for providing human feedback. This critical component of Machine Learning, called Active Learning, is often absent from Machine Learning courses. This Data Science Central w…
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