Interference

Interference refers to the phenomenon where the presence of one signal affects the reception or transmission of another signal. In data science, interference can occur when the presence of one variable affects the relationship between two other variables, leading to biased or incorrect results. This can happen in experimental design, where the treatment group may be affected by external factors that are not controlled for, leading to inaccurate conclusions. Interference can also occur in machine learning models, where the presence of correlated features can lead to overfitting and poor generalization performance. In artificial intelligence, interference can occur when multiple agents are trying to achieve a common goal, but their actions interfere with each other, leading to suboptimal outcomes.
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