SEADTrain Data Analysis

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dc.contributor.authorPlale, Beth
dc.contributor.authorKouper, Inna
dc.date.accessioned2018-08-01T19:41:29Z
dc.date.available2018-08-01T19:41:29Z
dc.date.issued2017-07-23
dc.description.abstractHands on tutorial on using Azure VMs to give data science students hands-on experience. Students analyze PM 2.4 data in real time. Partnership of the Pacific Rim Applications and Grid Middleware Assembly (PRAGMA) with team in Taiwan deploying Airbox sensor network. Hands on tutorial presented at ESIP Summer 2017 meeting in Bloomington, IN
dc.description.sponsorshipNational Science Foundation award #1234983 and Microsoft
dc.identifier.urihttps://hdl.handle.net/2022/22312
dc.language.isoen
dc.subjectESIP Summer 2017; persistent IDs; Azure data analysis; on-line learning
dc.titleSEADTrain Data Analysis
dc.typePresentation

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1 SEADTrain ESIP Slide Overview - 20 min.pptx
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SEADTrain ESIP Slide Overview
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2 SEADTrain ESIP Ingest Demo - 20 min.pptx
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SEADTrain ESIP Ingest Demo
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3 & 4 SEADTrain ESIP Help and Analysis - (20+30) min.pptx
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1.53 MB
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SEADTrain ESIP Help and Analysis
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