1 link tagged with all of: machine-learning + data-collection + training-data + model-performance
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The article discusses the challenges of acquiring sufficient data for training machine learning models, emphasizing the importance of diverse and representative datasets. It explores potential strategies for data collection and the implications of data scarcity on model performance and generalization.