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Lecture
Linear Regression: Regularization
Description
This lecture covers the concepts of linear regression, regularization, and probabilistic models. It explains the importance of least squares, regularization techniques, and probabilistic modeling in generating labels. The instructor discusses the significance of parameter values, Gaussian assumptions, and the goal of statistical analysis.
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