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| Created: | Jul 10, 2025 at 7:24 p.m. (UTC) | |
| Last updated: | Jul 10, 2025 at 7:32 p.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Discoverable (Accessible via direct link sharing) |
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Abstract
This workshop introduces two tools for performing machine learning on National Water Model data: Amazon SageMaker Studio, an web-based interface for end-to-end ML development; and Amazon Bedrock, a tool for compositing and scaling generative AI models.
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| page_url | https://www.hydroshare.org/resource/322bb5be2f7044678fbd98847c3a39a2/ |
| pres_path | WorkingwithNationalWaterModeldatainAmazonSageMakeranddemoof AmazonBedRock(AI tool).pdf |
Related Resources
| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| CIROH DevCon 2024 Presentations and Workshops | Nia Minor | Public & Shareable | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Oceanic and Atmospheric Administration (NOAA), University of Alabama | CIROH: Enabling collaboration through data and model sharing with CUAHSI HydroShare | NA22NWS4320003 to University of Alabama, subaward A23-0266-S001 to Utah State University |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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