Mathematical Relationship
Mathematical Relationship refers to the connection between two or more variables that can be represented by a mathematical equation or formula. In data science, mathematical relationships are used to model and analyze complex systems and phenomena. These relationships can be linear or nonlinear, and can be used to make predictions and draw insights from data. Mathematical relationships are often used in machine learning algorithms, where the goal is to find the best mathematical model that can accurately predict outcomes based on input data. Common mathematical relationships used in data science include regression analysis, correlation analysis, and clustering analysis.
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