Lec4 Regularization Lasso 2 3

Summary

Your model aced the training data and failed everything else. That's not intelligence — that's memorization. In this Sebastian's books: sebastianraschka.com/books/ Slides: ... Linear least-squares with regularizations (L2-ridge regression, and L1- , Share, . Visit my playlists for organized tutorial. Learn how to combat overfitting in high-dimensional datasets by applying Weight Decay, Early stopping, Manifold Tangent Classifier, Noise injection. Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ...