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• Data-driven Insights: Data-driven insights refer to the process of using data analysis techniques to extract meaningful and actionable insights from large and complex data sets. This involves the use of statistical and machine learning algorithms to identify pat ... Read More >>
• Pragmatics: Pragmatics is a subfield of linguistics that studies how context contributes to meaning in communication. In data science, pragmatics refers to the study of how context affects the interpretation of data and the development of algorithms. T ... Read More >>
• Business Rules: In Data Science, Business Rules refer to a set of guidelines or conditions that are defined by an organization to govern its operations. These rules are based on the organization's policies, procedures, and regulations, and are used to make ... Read More >>