Machine Learning Generalization Error

Summary

In supervised learning applications in Let's not forget the goal is to train models that Bias and Variance are two fundamental concepts for By fitting complex functions, we might be able to perfectly match the training data with zero loss. In this video, we learn how to ... This video breaks down the concept of This video is part of the Introduction to For more information about Stanford's Seminar by Nigel Goldenfeld, Department of Physics and Halıcıoğlu Data Science Institute, University of California San Diego. Lorenzo Rosasco, MIT, University of Genoa, IIT 9.520/6.860S Statistical Underfitting and overfitting are some of the most common problems you encounter while constructing a statistical/