Frequency Components

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• Demographics: In Data Science, demographics refers to the statistical data of a population, such as age, gender, income, education level, and geographic location. Demographic data is often used to segment a population into different groups for analysis a ... Read More >>
• Regularization Parameter: In machine learning, regularization is a technique used to prevent overfitting by adding a penalty term to the loss function. The regularization parameter is a hyperparameter that controls the strength of this penalty term. A higher value o ... Read More >>
• Statistical Redundancy: Statistical redundancy refers to the presence of excessive or unnecessary information in a dataset that can negatively impact the performance of machine learning models. This can occur when variables in a dataset are highly correlated or wh ... Read More >>