Using Small Datasets to Build Models DataRobot

The world is going through extremely turbulent times. With the ongoing disruption of our lives, communities, and businesses from the COVID-19 pandemic, predictions from existing machine learning models trained prior to the pandemic become less reliable. There is plenty of historical data, but historical examples from before the pandemic may not provide the relevant examples needed to train a model that is useful today. We are left with only training data gathered in the most recent weeks, data which may, in turn, prove to be irrelevant even a few weeks from now as the situation continues to evolve. The patterns our existing models have uncovered have changed and are likely to continue to change.