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Data-Centric Active Learning Pipelines: Handling Noisy Labels Efficiently

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Noisy labels can mislead machine learning models, but data-centric active learning pipelines turn this challenge into an opportunity. By selectively querying uncertain or informative samples and iteratively refining datasets, these pipelines improve model performance efficiently. ExcelR’s Data Science Course in Nagpur teaches learners to implement these strategies for robust, real-wor... https://buymeacoffee.com/excelrposts/data-centric-active-learning-pipelines-noisy-labels

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