Create and manage Amazon EMR Clusters from SageMaker Studio to run interactive Spark and ML workloads – Part 1

Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps required to prepare data, as well as build, train, and deploy models. We recently introduced the ability to visually

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Shared by AWS Machine Learning December 3, 2021

Create and manage Amazon EMR Clusters from SageMaker Studio to run interactive Spark and ML workloads – Part 2

Favorite In Part 1 of this series, we offered step-by-step guidance for creating, connecting, stopping, and debugging Amazon EMR clusters from Amazon SageMaker Studio in a single-account setup. In this post, we dive deep into how you can use the same functionality in certain enterprise-ready, multi-account setups. As described in

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Shared by AWS Machine Learning December 3, 2021

Quickly build custom search applications without writing code using Amazon Kendra Experience Builder

Favorite Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. With Amazon

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Shared by AWS Machine Learning December 3, 2021

Enrich your content and metadata to enhance your search experience with custom document enrichment in Amazon Kendra

Favorite Amazon Kendra customers can now enrich document metadata and content during the document ingestion process using custom document enrichment (CDE). Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines search for your websites and applications so your employees and customers can easily find

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Shared by AWS Machine Learning December 2, 2021

Roundup of re:Invent 2021 Amazon SageMaker announcements

Favorite At re:Invent 2021, AWS announced several new Amazon SageMaker features that make machine learning (ML) accessible to new types of users while continuing to increase performance and reduce cost for data scientists and ML experts. In this post, we provide a summary of these announcements, along with resources for

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Shared by AWS Machine Learning December 2, 2021