AWS Machine Learning Blog

SEPTEMBER 18, 2024

With the SageMaker HyperPod auto-resume functionality, the service can dynamically swap out unhealthy nodes for spare ones to ensure the seamless continuation of the workload. Also included are SageMaker HyperPod cluster software packages, which support features such as cluster health check and auto-resume.

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Auto-complete ML Generative AI Deep Learning 103

AWS Machine Learning Blog

JUNE 3, 2024

In a single visual interface, you can complete each step of a data preparation workflow: data selection, cleansing, exploration, visualization, and processing. Complete the following steps: Choose Prepare and analyze data. Upload the dataset you downloaded in the prerequisites section. Choose Create.

Categorization 107

Categorization Generative AI Auto-complete Auto-classification 107

AWS Machine Learning Blog

APRIL 27, 2023

Regular CPU systems are completely memory bound for these calculations, and performance is limited by the time required to move the data into the CPU. In Trainium, the GP-SIMD engines are tightly coupled with the on-chip caches using a high bandwidth streaming interface, which can sustain 2 TB/sec of memory bandwidth.

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Auto-complete Deep Learning Machine Learning ML 83

AWS Machine Learning Blog

NOVEMBER 9, 2023

Create a KMS key in the dev account and give access to the prod account Complete the following steps to create a KMS key in the dev account: On the AWS KMS console, choose Customer managed keys in the navigation pane. Download and save the publicly available UCI Mammography Mass dataset to the S3 bucket you created earlier in the dev account.

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Data Drift Auto-complete ML Automation 116

DataRobot Blog

JANUARY 10, 2023

DataRobot Notebooks is a fully hosted and managed notebooks platform with auto-scaling compute capabilities so you can focus more on the data science and less on low-level infrastructure management. Auto-scale compute. In the DataRobot left sidebar, there is a table of contents auto-generated from the hierarchy of Markdown cells.

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Auto-classification Auto-complete Data Scientist Data Science 52

The MLOps Blog

JUNE 27, 2023

Can you see the complete model lineage with data/models/experiments used downstream? Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. MLOps workflows for computer vision and ML teams Use-case-centric annotations.

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Machine Learning Metadata Data Scientist Data Quality 134

Flipboard

NOVEMBER 27, 2024

In your AWS account, prepare a table using Amazon DataZone and Athena completing Step 1 through Step 8 in Amazon DataZone QuickStart with AWS Glue data. 1 MinContainers Minimum containers for auto scaling. 1 MaxContainers Maximum containers for auto scaling. An email address must be included while creating the user.

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Metadata Auto-complete Data Discovery ML Engineer 149