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• Anonymization Techniques: Anonymization techniques refer to the methods used to protect the privacy of individuals by removing or obscuring their personal identifying information from datasets. These techniques are commonly used in data science and artificial intell ... Read More >>
• Evaluation: Evaluation is the process of assessing the performance of a model or system based on specific criteria. In data science and artificial intelligence, evaluation is a crucial step in the development of models and algorithms. It involves measu ... Read More >>
• Data Quality Management: Data Quality Management refers to the process of defining, implementing, and maintaining a set of standards and procedures to ensure that data is accurate, complete, consistent, and timely throughout its lifecycle. It involves identifying d ... Read More >>