AWS Machine Learning

JANUARY 5, 2024

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. Save model: This step creates a model from the trained model artifacts.

Management 109

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AWS Machine Learning

FEBRUARY 13, 2023

According to Accenture , companies that manage to efficiently scale AI and ML can achieve nearly triple the return on their investments. An administrator can run the AWS CDK script provided in the GitHub repo via the AWS Management Console or in the terminal after loading the code in their environment.

Scripts 73

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AWS Machine Learning

NOVEMBER 1, 2022

A Studio domain managed policy attached to the AWS Identity and Access Management (IAM) execution role. For instructions on assigning permissions to the role, refer to Amazon SageMaker API Permissions: Actions, Permissions, and Resources Reference. Create a healthcare folder in the bucket you named via your AWS CDK script.

Engineering 91

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AWS Machine Learning

JUNE 14, 2023

Amazon SageMaker is a fully managed service to prepare data and build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. You can also add your own Python scripts and transformations to customize workflows. Choose the file browser icon view the path.

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