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• Specificity: In data science, specificity refers to the ability of a model to correctly identify negative cases. It is the proportion of true negatives out of all negative cases. Specificity is an important metric in evaluating the performance of binary ... Read More >>
• Memory Protection: Memory protection is a mechanism to prevent programs from accessing memory that they are not authorized to access. In the context of data science and artificial intelligence, memory protection is an important aspect of ensuring the security ... Read More >>
• Controllers: In Data Science, Controllers refer to the components of a system that are responsible for managing and directing the flow of data between different parts of the system. Controllers act as intermediaries between the user interface and the ba ... Read More >>