![Regularization in ML explained simply | Lasso (L1) and Ridge (L2) | Foundations for ML [Lecture 27]](https://i.ytimg.com/vi/VNrdslReSZU/mqdefault.jpg)
![Intro to Deep Learning -- L09 Regularization [Stat453, SS20]](https://i.ytimg.com/vi/KwaxQKiLkFY/mqdefault.jpg)
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Last Updated: October 14, 2026
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This video is part of the Supervised Learning ( Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... This is a video that introduces In this video, we talk about the L1 and L2 Sebastian's books: sebastianraschka.com/books The lecture slides are available at: ... This lecture motivates and derives Elastic-Net Regression is combines Lasso Regression with Ridge Regression to give you the best of both worlds. It works well ...
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