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The document discusses the concept of data transformation using basis functions in machine learning, particularly for regression and classification problems. It reviews multiple variable linear regression, single variable polynomial regression, and the use of interaction terms, emphasizing the importance of basis functions in expressing relationships between explanatory and target variables. Additionally, it highlights the need for analysts to determine basis functions based on data insights to facilitate c

Author

anhvt245

Language

EN