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• Privacy: Privacy refers to the ability of individuals or groups to keep their personal information and activities hidden from others. In the context of data science and artificial intelligence, privacy is a critical concern as these technologies oft ... Read More >>
• Outcome Variable: In Data Science, an outcome variable is a variable that is being predicted or explained by one or more independent variables. It is also known as a dependent variable or response variable. The outcome variable is the main focus of a statist ... Read More >>
• Model Refinement: Model refinement is the process of improving the performance of a machine learning model by making adjustments to its parameters, hyperparameters, or architecture. It involves fine-tuning the model to achieve better accuracy, precision, rec ... Read More >>