Machine Learning Theory - Part 3: Regularization and the Bias-variance Trade-off

In first part we explored the statistical model underlying the machine learning problem, and used it to formalize the problem in terms of obtaining the minimum generalization error. By noting that we cannot directly evaluate the generalization error of an... Read more about Machine Learning Theory - Part 3: Regularization and the Bias-variance Trade-off