Machine Learning, Data Science, Overfitting, Underfitting.
attention to whether they should be increased or decreased in a particular situation. There are a lot of such parameters — L1/L2 coefficients for linear regression, C and gamma for SVM, maximum tree depth for decision trees, and so on. In the context of neural networks, the main regularization