Machine Learning, Data Science, Design.
overfitting blazing fast, not letting the variance/bias tradeoff stabilize for a local optimum) or if you want to control the directly the features which are dominating in the data set (i.e too strong feature engineering). Gamma Tuning Always start with 0, use xgb.cv, and look how the train/test