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Lecture
Geometry of the Lasso
Description
This lecture explains the geometric intuition behind why Lasso solutions are sparse, focusing on a 2D example where the L1 norm constraint creates ellipsoidal contours, leading to a solution with a low-dimensional face. The instructor also discusses the behavior of coefficients as the regularization parameter changes in Lasso regression.
Official source
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