Sharing data and computing in the cloud allows data users to focus on data analysis rather than data access. Open Data on AWS helps you discover and share public open datasets in the cloud. The Registry of Open Data on AWS hosts a large amount of public open data. The datasets range from genomics to climate to transportation information. They are well structured and easily accessible. Additionally, you can use these datasets in machine learning (ML) model development in the cloud.
In this post, we demonstrate how to extract buildings and roads from two large-scale geospatial datasets: SpaceNet satellite images …
Extracting buildings and roads from AWS Open Data using Amazon SageMaker
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Optimize your inference jobs using dynamic batch inference with TorchServe on Amazon SageMaker
Graph-based recommendation system with Neptune ML: An illustration on social network link prediction...