Biased Data
Biased data refers to a type of data that is not representative of the population it is supposed to represent, due to systematic errors in the data collection process. Biased data can lead to inaccurate and unreliable results in data analysis and machine learning models. Biases can be introduced at various stages of the data collection process, such as sampling, measurement, and data entry. Biases can be unintentional or intentional, and can be caused by factors such as cultural norms, personal beliefs, and social stereotypes. It is important to identify and address biased data in order to ensure fairness and accuracy in data-driven decision making.
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