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• Efficacy: Efficacy refers to the ability of a model or algorithm to accurately predict outcomes or achieve desired results. In data science, efficacy is often measured by metrics such as accuracy, precision, recall, and F1 score. A model with high ef ... Read More >>
• Checksums: Checksums are a type of algorithm that is used to verify the integrity of data. In data science and artificial intelligence, checksums are used to ensure that data has not been corrupted or altered during transmission or storage. Checksums ... Read More >>
• Rules And Guidelines: Rules and guidelines refer to a set of instructions or principles that govern the behavior of individuals or groups within a particular context. In the context of data science and artificial intelligence, rules and guidelines are essential ... Read More >>