![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: October 14, 2026
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Take the Deep Learning Specialization: bit.ly/2VDOhvx all our courses: deeplearning.ai to ... If you suspect your neural network is over fitting your data. That is you have a high variance problem, one of the first things you ... In this video, we talk about the L1 and L2 Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... This video is part of the Udacity course "Deep Learning". Watch the full course at udacity.com/course/ud730. Lecture Notes: cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote10.html. We're back with another deep learning explained series videos. In this video, we will learn about Sebastian's books: sebastianraschka.com/books/ Slides: ... Lorenzo Rosasco, MIT, University of Genoa, IIT 9.520/6.860S Statistical Learning Theory and Applications Class website: ...
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