machine learning with human computation
Machine learning with human computation refers to a method of training machine learning models by harnessing the collective efforts of human workers to generate training data, validate results, or perform tasks beyond the capabilities of automated algorithms. It combines the power of human intelligence and machine learning algorithms to enhance the accuracy, efficiency, and adaptability of AI systems.
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