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Lecture
Linear Regression: Basics
Description
This lecture introduces linear regression as one of the simplest problems in machine learning, focusing on finding the best fitting hyperplane through a set of points by minimizing the error. The training phase involves optimizing the parameter Omega, while the test phase uses Omega to predict the output Y for new points.
Official source
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