Normalization is a process in data management that involves organizing and structuring data to minimize redundancy and dependency, making it more efficient and scalable. In research, normalization is crucial for ensuring data consistency and accuracy, particularly in fields like data science, machine learning, and scientific research, where high-quality data is essential for reliable insights and informed decision-making.
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7 stories tagged with normalization