Least squares optimization is a mathematical method used to minimize the sum of the squares of the residuals, which are the differences between observed and predicted values. This technique is commonly applied in regression analysis to find the best-fitting curve or line for a given set of data points. The approach is foundational in statistics and data science, serving as a basis for numerous algorithms and techniques aimed at estimating unknown parameters and making predictions.
congrats on reading the definition of least squares optimization. now let's actually learn it.