AI is reliant upon data to acquire knowledge and drive decision-making processes. Therefore, the data quality utilized for training AI models is vital in influencing their accuracy and dependability. Data noise in machine learning refers to the occurrence of errors, outliers, or inconsistencies within the data, which can degrade the quality and reliability of AI […]
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