Topic Brief: Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... Lasso Regression is super similar to Ridge Regression, but there is one big, huge difference between the two.
L1 Vs L2 Regularization -
Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... Lasso Regression is super similar to Ridge Regression, but there is one big, huge difference between the two. People often ask why Lasso Regression can make parameter values equal 0, but Ridge Regression can not.
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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 ...
- Lasso Regression is super similar to Ridge Regression, but there is one big, huge difference between the two.
- People often ask why Lasso Regression can make parameter values equal 0, but Ridge Regression can not.
- This video was recorded as part of CIS 522 - Deep Learning at the University of Pennsylvania.
- Overfitting is one of the main problems we face when building neural networks.
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