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-tutorialsThe 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 Presentations: See attached.
TakeawaysTBD
