Leveraging Differentiated Geospatial Data for Location AI

Learn best practices for handling geospatial data in common machine learning problems. Discover insights gained from working with hundreds of organizations with diverse location information needs. For demonstration, we analyze a real estate listing dataset to develop a model for predicting the sale price of future listings, and demonstrate how data science practitioners can employ geospatial tools to unveil a full range of geospatial modeling techniques. Learn how to develop a location-aware model and interpret the results with emphasis on evaluating training data for quality, completeness, and spatial enrichment.

Guests

Patrick Wilson
Patrick Wilson

Geospatial Engineer formerly of DataRobot