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Linear Regression in Machine Learning by aa6499244 is a document available to read on EtoBox.

Linear regression is a fundamental machine learning algorithm used to model relationships between dependent and independent variables through linear equations. The Normal Equation is a common method for solving these equations to find optimal coefficients, but it can be computationally expensive for large datasets, leading to the use of iterative methods like Gradient Descent. Mastery of linear systems and matrix operations is crucial for building effective machine learning models.

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aa6499244

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EN