OLS regression is a method for estimating coefficients of linear regression equations. It aims to find the values of the model's parameters that minimize the sum of squared residuals. The OLS solution can be represented in scaler form, making it easy to implement and interpret. Some key takeaways from the article include the concept of optimization problems and the limitations of the scaler form of the OLS solution.
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In this article we will learn our first machine learning algorithm called Simple Linear Regression. This is an…Sort: