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The sort() method of TypedArray instances sorts the elements of a typed array in place and returns the reference to the same typed array, now sorted. This method has the same algorithm as Array.prototype.sort(), except that it sorts the values numerically instead of as strings by default.

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The map() method of TypedArray instances creates a new typed array populated with the results of calling a provided function on every element in the calling typed array. This method has the same algorithm as Array.prototype.map().

Deploy and scale ML models without configuring or managing any of the underlying infrastructure with Amazon SageMaker Serverless Inference.

Use the Data Wrangler data preparation widget within an Amazon SageMaker Studio Classic to get actionable insights and fix data quality issues.

List of features offered by Amazon SageMaker: new features, machine learning environments, and major features.

Describes the machine learning environments supported by Amazon SageMaker.

SageMaker HyperPod is a capability of SageMaker 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.

Learn about notebook-based noninteractive workflows.