MERL Tech DC 2019 has ended
Friday, September 6 • 12:50pm - 12:55pm
Machine Learning to Measure Impact with Remotely Sensed Imagery and Vector Data

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In this session we will introduce 2 case studies for how organizations are using raster and vector data to monitor the impact of their programs. The talk is meant to alert attendees to the potential for leveraging machine learning algorithms to provide new insights and inspire them to think of ways to apply these data sources and methods to their own work.

avatar for Alberto Nieto

Alberto Nieto

Solution Engineer, Esri
Alberto Nieto is a geographer, python developer, and spatial analyst who helps GIS users find innovative solutions to important spatial problems.Prior to joining Esri, Alberto accumulated nearly a decade of experience that includes working at the Census Bureau, NOAA’s Office of... Read More →

Friday September 6, 2019 12:50pm - 12:55pm
Academy Hall FHI 360 Conference Center, 1825 Connecticut Ave, 8th Floor, Washington, DC
  • session type Plenary Talk

Attendees (99)