The least-squares method is a statistical technique used to determine the best fit line or curve for a set of data by minimizing the sum of the squared errors between observed and predicted values. This method is widely used in various fields, including data analysis, machine learning, and scientific computing, making it a fundamental tool for tech professionals to understand and apply in their work, from data modeling to algorithm development.
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