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'Human in the Loop’ Learning (HITL), describes a setup whereby a learning machine or computer system can incorporate selected human inputs or labels into its inferences or learning process, and ...

Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...