Linear Modeling Theory
Bias mitigation refers to the methods and strategies used to reduce or eliminate biases in data, algorithms, and models, ensuring fair and equitable outcomes. This concept is crucial in creating trustworthy linear models that do not favor or disadvantage specific groups, which is essential for ethical decision-making and social responsibility.
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