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Closed-Form Linear Regression Solution by 李澤諺 is a document available to read on EtoBox.

The document contains a math problem involving linear regression. It introduces notation for the variables w, b, x_i, and y. It then derives the closed-form solution for the least squares estimates of w and b by taking the partial derivatives of the loss function with respect to w and b and setting them equal to zero. The critical point found is the global minimum. The document then extends the problem to include an intercept term and shows the formulation of the normal equations to solve for the least squa

Author

李澤諺

Language

EN