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For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth observation data, thus forming a community dedicated to making Earth observations more discoverable, accessible and useful to researchers, practitioners, policy makers, and the public. The theme of the meeting is Putting Data to Work: Building Public-Private Partnerships to Increase Resilience & Enhance the Socioeconomic Value of Data.

The meeting has now ended. Check out the ESIP Summer Meeting Highlights Webinar and learn how to access session materials at https://www.esipfed.org/collaboration-updates/esip-summer-meeting-2020-recap.
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Thursday, July 16 • 2:00pm - 3:30pm
Machine Learning Tutorials

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Supported by 2019 ESIP Summer Meeting Funding Friday, ESIP Machine Learning cluster has developed three machine learning training tutorials focusing on Earth science applications. The project planned to develop three Earth science-oriented machine learning tutorials using open data and software. These tutorials are built at the introductory level with the purpose to help ESIP community members who are interested in ML applications in their own field to have a basic understanding of how to build a machine learning application. These three tutorials are built using existing ML libraries in R and Python and each tutorial focuses on one type of machine learning application (i.e., classification, regression, anomaly detection). In this session, we will demonstrate these tutorials and provide an online platform where participants can get started to experience how to build an Earth science-oriented application. Participants will need to bring their own laptop with internet connection to execute these tutorials.

The link to the tutorials is here: https://github.com/geo-yrao/esip-ml-tutorials

The slides for the presentation today can be found right below the session description. 

Languages, platforms used:
R, hosted on Binder
Python, hosted on Google Collab

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View Session Notes
View Presentations: See attached.


avatar for Nancy Hoebelheinrich

Nancy Hoebelheinrich

Principal, Knowledge Motifs LLC
See my LinkedIn profile at: https://www.linkedin.com/in/nancy-hoebelheinrich-0576ba3
avatar for Yuhan

Yuhan "Douglas" Rao

I am currently a Postdoctoral Research Scholar at North Carolina Institute for Climate Studies, also affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating... Read More →

Thursday July 16, 2020 2:00pm - 3:30pm EDT
Room 3
  Workshop, Room 3