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Fitting Model Parameters by Minimizing Prediction Error

How a model's parameters are adjusted during training so its predictions move closer to the target values, using a loss that measures the gap between prediction and target.

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Ordinary Least Squares Regression in Linear Algebra using Error Minimization

Ordinary Least Squares (OLS) regression is a linear algebraic and statistical optimization method that identifies coefficients to minimize the sum of squared errors between observed data points and a…