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Machine Learning Lifecycle for Earth Science Application: A Practical Insight into Production DeploymentEarth science domain presents unique sets of problems that are increasingly being solved using data driven approaches. The availability of big Earth science data offers immense potential for Machine learning (ML) as evident from numerous research publications lately. However, many of these publications are not ending up as production applications mainly because the data scientists who develop the ML models are now expected to complete the ML lifecycle by deploying and scaling the models in production. We introduce ML lifecycle to the Earth science community including the opportunities and challenges that lie ahead in each phase of the lifecycle. We demonstrate the lifecycle using an Earth science problem that we used ML to address and transitioned to production.



Document ID
20190029029
Acquisition Source
Marshall Space Flight Center
Document Type
Poster
Authors
Maskey, Manil
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Ramachandran, Rahul
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Gurung, Iksha
(UAH)
Freitag, Brian
(UAH)
Ramasubramanian, Muthukumaran
(UAH)
Bollinger, Drew
(Development Seed Washington, DC, United States)
Mestre, Ricardo
(Development Seed Washington, DC, United States)
Molthan, Andrew
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Hain, Christopher
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Cecil, Dan
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Date Acquired
August 13, 2019
Publication Date
July 28, 2019
Subject Category
Mathematical And Computer Sciences (General)
Report/Patent Number
MSFC-E-DAA-TN69586
Meeting Information
Meeting: International Geoscience and Remote Sensing Symposium (IGARSS)
Location: Yokohama
Country: Japan
Start Date: July 28, 2019
End Date: August 2, 2019
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: NNM11AA01A
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
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