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• Acceptance: In Data Science, acceptance refers to the process of determining whether a model or system meets the requirements and expectations of stakeholders. This involves evaluating the performance of the model or system against predefined criteria ... Read More >>
• Error Detection: Error detection is the process of identifying errors or abnormalities in data or information. In the context of data science and artificial intelligence, error detection is a crucial step in ensuring the accuracy and reliability of data. Th ... Read More >>
• Black-box Models: Black-box models refer to machine learning models that are complex and difficult to interpret. These models are often used in situations where the accuracy of the model is more important than understanding how the model works. Black-box mod ... Read More >>