bias in machine learning algorithms
Bias in machine learning algorithms refers to the systematic error or deviation from the expected outcome that consistently occurs when the algorithm is applied to different data sets. It can result from inherent assumptions or limitations in the algorithm's design, leading to consistently inaccurate or unfair predictions or decisions.
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