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Lecture
Linear Regression: Least Squares Method
Description
This lecture covers the method of least squares in linear regression, focusing on finding the best-fitting line to a set of data points by minimizing the sum of the squares of the vertical distances between the data points and the line. The instructor explains the mathematical formulation of the least squares method, the QR factorization, and provides examples to illustrate the application of the method in solving linear regression problems.
Official source
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