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• Epistemic Uncertainty: Epistemic uncertainty refers to the uncertainty arising from a lack of knowledge or information about a system or process. In data science and artificial intelligence, epistemic uncertainty is often associated with model uncertainty, where ... Read More >>
• Multiplexing: Multiplexing is a technique used in data communication to combine multiple signals into a single signal over a shared medium. This allows multiple users to share the same communication channel, increasing the efficiency of the system. There ... Read More >>
• Discrimination: In Data Science, discrimination refers to the unfair or biased treatment of individuals or groups based on their membership in a particular demographic category, such as race, gender, age, or religion. Discrimination can occur in various st ... Read More >>