![Regularization in ML explained simply | Lasso (L1) and Ridge (L2) | Foundations for ML [Lecture 27]](https://i.ytimg.com/vi/VNrdslReSZU/mqdefault.jpg)
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Last Updated: September 27, 2026
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Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... In this video, we talk about the Regularization in Deep Learning Regularization in machine learning We will explain Ridge, Lasso and a Bayesian interpretation of both. ABOUT ME ⭕ : ... Overfitting is one of the main problems we face when building neural networks. Before jumping into trying out fixes for over or ... Lasso Regression is super similar to Ridge Regression, but there is one big, huge difference between the two. In this video, I start ...
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