For most data science applications, the algorithms do not matter nearly as much as data integration and data preparation. But sometimes, we really need to bring out the big guns: the most sophisticated and complex algorithms to solve difficult problems. This talk will describe situations where complex algorithms matter and when one might want to choose Random Forests, XGBoost or Deep Learning networks to solve those difficult problems.