Using Small Datasets to Build Models
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.
Session ID: Presentation Type: On-Demand Session (Recorded)
Date / Time: [Content On-Demand] @ On Demand ET (US)
Presented by:DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. Click for more details and additional sessions and content.
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