[ad_1] In past week’s AWS 7 days in Evaluate write-up, Danilo stated that it’s summer in London. Well, I’m centered in Singapore, and it is largely summer months below. But, June is a exclusive thirty day period right here as it marks the start of durian season. Starting up future 7 days, I’ll be travelling…
[ad_1] At AWS re:Invent 2022, we previewed Amazon SageMaker geospatial capabilities, allowing data scientists and machine learning (ML) engineers to build, train, and deploy ML models using geospatial data. Geospatial ML with Amazon SageMaker supports access to readily available geospatial data, purpose-built processing operations and open source libraries, pre-trained ML models, and built-in visualization tools…
[ad_1] Today AWS announces new features in Amazon SageMaker Canvas that help business analysts generate insights from thousands of documents, images, and lines of text in minutes with machine learning (ML). Starting today, you can access ready-to-use models and create custom text and image classification models alongside previously supported custom models for tabular data, all…
