From the course: Amazon Web Services Machine Learning Essential Training

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AWS AI servers vs. platforms

AWS AI servers vs. platforms - Amazon Web Services (AWS) Tutorial

From the course: Amazon Web Services Machine Learning Essential Training

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AWS AI servers vs. platforms

- [Instructor] As of this recording, Amazon has released a very large number of solutions for not only developers but anybody working with machine learning analytics. So this chart shows a subset of the currently released products, but it is grouped together roughly in the order that we're going to be addressing it in this course. At the top level, we have AI Services, and you can think of these as endpoints. You provide input data, Amazon performs the machine learning analysis and provides you with the result. A result can be a label on an image, a cat or dog situation, it can be speech when you input text, and much more. At the next level, Amazon provides you with platforms, and these vary from server-based platforms such as Elastic MapReduce, which is ManageToDupe in Spark, to a new platform called AWS Sagemaker that's not even shown on this diagram. This is Docker-hosted machine learning containers. At lower levels, if you're coding and making your own machine learning models…

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