Lecture
Linear Regression: Statistical Inference and Regularization
Description
This lecture covers the probabilistic model for linear regression, statistical inference, maximum likelihood and maximum a posteriori estimators, regularization techniques like LASSO, and the importance of variable selection in the context of machine learning.
Official source
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