L1 and L2 Regularization in Machine Learning: Easy Explanation for Data Science Interviews
12:00
YouTubeEmma Ding
L1 and L2 Regularization in Machine Learning: Easy Explanation for Data Science Interviews
Regularization is a machine learning technique that introduces a regularization term to the loss function of a model in order to improve the generalization of a model. In this video, I explain both L1 and L2 regularizations, the main differences between the two methods, and leave you with helpful pros and cons so you can best decide when to ...
15.6K viewsNov 28, 2022
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