AWS ML Heroes in 15: Geospatial ML with Amazon SageMaker- AWS Machine Learning in 15

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Published Feb 20, 2025

Learn from AWS ML Hero Mike Chambers showcases how build, train, and deploy with Geospatial ML with Amazon SageMaker. Amazon SageMaker now supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to easily build, train, and deploy ML models using geospatial data. This talk will walk through an an end-to-end training model with deep learning and deployment.

Learning Objectives:
* Objective 1: Learn how Geospatial ML can be used to innovate faster and make smarter decisions across a wide variety of use cases and industries.
* Objective 2: Learn how to conceive and execute a POC Geospatial ML project on Amazon SageMaker.
* Objective 3: Learn how to anaylze geospatial data and explore model predictions on an interactive map using 3D accelerated graphics with built-in visualization tools.

***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker/geospatial/
To download the slides visit: https://pages.awscloud.com/rs/112-TZM-766/images/2023_0205-SN-MCL_Slide-Deck.pdf

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