Applying Machine Learning Technologies to Space-based Planetary Study
Please join us as Chris Rampersad presents on example applications using open satellite data, and describe how ML technologies are helping us to better understand changes happening on the planet.
The lecture will be held in DLC 1B70, Engineering Dr, Boulder, CO 80302
Chris is currently the vice president of engineering at EarthDaily Analytics – a vertically integrated software and analytics space company developing world-first technologies in data services, satellite processing, machine learning, and actionable insights. For more information about EarthDaily, you can navigate to their company website here – EarthDaily – The world’s most advanced Change Detection System.
We hope to see you there!
Date and Time
Location
Hosts
Registration
- Date: 06 Nov 2024
- Time: 06:00 PM to 08:00 PM
- All times are (UTC-07:00) Mountain Time (US & Canada)
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- DLC 1B70, Engineering Dr
- Boulder, Colorado
- United States 80302
- Building: DLC
- Room Number: DLC 1B70
- Click here for Map
- Starts 23 October 2024 07:00 PM
- Ends 06 November 2024 06:00 PM
- All times are (UTC-07:00) Mountain Time (US & Canada)
- No Admission Charge
Speakers
Chris Rampersad
Biography:
Chris is currently the vice president of engineering at EarthDaily Analytics – a vertically integrated software and analytics space company developing world-first technologies in data services, satellite processing, machine learning, and actionable insights. For more information about EarthDaily, you can navigate to their company website here – EarthDaily – The world’s most advanced Change Detection System.