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• Doping: Doping is the act of introducing performance-enhancing drugs or substances into the body of an athlete to gain an unfair advantage over others in sports competitions. In data science, doping can refer to the act of introducing biased or man ... Read More >>
• Lasso Regression: Lasso Regression is a linear regression technique that performs both variable selection and regularization to improve the prediction accuracy and interpretability of the model. It adds a penalty term to the cost function of the linear regre ... Read More >>
• Non-volatile: Non-volatile refers to a type of memory that retains its stored data even when the power is turned off. In contrast, volatile memory requires a constant power source to maintain its stored data. Non-volatile memory is commonly used in data ... Read More >>