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# Contributors by commit history https://github.com/mdn/content/commits/main/files/en-us/web/svg/reference/attribute/filterunits/index.md # Original Wiki contributors Sebastianz Jeremie 187

An owning iterator over the values of a `HashMap`.

Learn about Amazon SageMaker Canvas, a service that you can use to get machine learning predictions and build models without using any code.

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Use a batch transform job to get inferences for an entire dataset, when you don't need a persistent endpoint, or to preprocess datasets to remove noise or bias.

Learn about using Amazon SageMaker HyperPod in Amazon SageMaker Studio.

Describes the step types in Amazon SageMaker Pipelines.

SageMaker HyperPod is a capability of SageMaker AI that provides an always-on machine learning environment on resilient clusters. You can use these clusters to run any machine learning workloads for developing state-of-the-art machine learning models such as large language models (LLMs) and diffusion models.

Asserts that two expressions are not equal to each other.