Automatic Machine Learning at Scale: H2O AutoML
For supervised machine learning tasks, AutoML can significantly speed up your time to deployment and tighten the feedback loop for feature experimentation. To make sure the tools perform reasonably well, we test H2O AutoML against a popular benchmark of commonly used...
How macroeconomics can push forward the frontiers of Data Science
Our goal is to convince you that the practice of Data Science today can learn something from macroeconomics of the 1970s. In 1976, Robert Lucas critiqued macroeconomic forecasting by arguing that models based on aggregate data needed to be replaced with ones estimated...