Looking to understand the differences between AWS's machine learning offerings? I've written a comprehensive comparison between AWS SageMaker and Amazon ML. This article explores: SageMaker's end-to-end ML capabilities vs. Amazon ML's historical approach Detailed analysis of SageMaker's features including Studio, Autopilot, and Ground Truth Implementation best practices and cost optimization strategies Practical recommendations for teams starting with machine learning on AWS Whether you're a data scientist, developer, or decision-maker, this comparison will help you understand AWS's machine learning evolution and make informed decisions about using SageMaker for your ML projects. Here is the article link - https://medium.com/@smith.emily2... Join the discussion and share your experiences with these platforms!

I use ours at https://www.netjet.io/en/, curious to hear what you use?

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