Using Small Datasets to Build Models in DataRobot
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As the global coronavirus pandemic is causing major disruptions to communities and the economy, many existing data science models struggle to adapt to these shifts due to a shortage of available data.
Join our learning session “Using Small Datasets to Build Models” hosted by Dave Heinicke and Rajiv Shah (both Customer Facing Data Scientists) to learn more about:
- Strategies to build a “cold start” model.
- Checks to ensure you have meaningful, consistent signal from limited examples.
- Diving deeper into model insights to verify meaningful model fit.
Hosts
- Dave Heinicke (DataRobot, Customer Facing Data Scientist)
- Rajiv Shah (DataRobot, Customer Facing Data Scientist)
- Jack Jablonski (DataRobot, AI Success)
About the author
Linda Haviland
Community Manager
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