- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 41 - 50 of 294 for host:docs.aws.amazon.com (0.02 sec)
-
Refine data during training with Amazon SageMak...
Amazon SageMaker smart sifting is a capability of SageMaker Training that helps improve the efficiency of training datasets and reduce total training time and cost.docs.aws.amazon.com/sagemaker/latest/dg/train-smart-sifting.htmlRegistered: Fri May 17 01:41:22 UTC 2024 - Last Modified: Thu May 16 20:30:42 UTC 2024 - 16.8K bytes - Viewed (0) -
Monitor data and model quality - Amazon SageMaker
Amazon SageMaker Model Monitor continuously monitors the quality of Amazon SageMaker machine learning models in production.docs.aws.amazon.com/sagemaker/latest/dg/model-monitor.htmlRegistered: Fri May 17 01:40:53 UTC 2024 - Last Modified: Thu May 16 20:32:58 UTC 2024 - 21K bytes - Viewed (0) -
Create, store, and share features with Amazon S...
Create, store, and share features with Amazon SageMaker Feature Store.docs.aws.amazon.com/sagemaker/latest/dg/feature-store.htmlRegistered: Fri May 17 01:40:56 UTC 2024 - Last Modified: Thu May 16 20:30:08 UTC 2024 - 22.5K bytes - Viewed (0) -
Quick setup to Amazon SageMaker - Amazon SageMaker
Instructions and configuration information using quick setup onboarding.docs.aws.amazon.com/sagemaker/latest/dg/onboard-quick-start.htmlRegistered: Fri May 17 01:40:22 UTC 2024 - Last Modified: Thu May 16 20:27:28 UTC 2024 - 18.3K bytes - Viewed (0) -
Supported Regions and Quotas - Amazon SageMaker
For the AWS Regions supported by Amazon SageMaker and the Amazon Elastic Compute Cloud (Amazon EC2) instance types that are available in each Region, see Amazon SageMaker Pricing .docs.aws.amazon.com/sagemaker/latest/dg/regions-quotas.htmlRegistered: Fri May 17 01:40:37 UTC 2024 - Last Modified: Thu May 16 20:27:35 UTC 2024 - 12.7K bytes - Viewed (0) -
Amazon SageMaker Model Cards - Amazon SageMaker
Use Amazon SageMaker Model Card to document critical details about your machine learning (ML) models for governance and reporting.docs.aws.amazon.com/sagemaker/latest/dg/model-cards.htmlRegistered: Fri May 17 01:42:59 UTC 2024 - Last Modified: Thu May 16 20:33:20 UTC 2024 - 39.4K bytes - Viewed (0) -
Collaborate with shared spaces - Amazon SageMaker
Learn how to use shared spaces for collaboration between all users in a SageMaker domain.docs.aws.amazon.com/sagemaker/latest/dg/domain-space.htmlRegistered: Fri May 17 01:43:28 UTC 2024 - Last Modified: Thu May 16 20:27:58 UTC 2024 - 15.6K bytes - Viewed (0) -
Using Amazon Augmented AI for Human Review - Am...
Learn about Amazon Augmented AI (A2I), a service for augmenting AI application labeling with human review loops to boost confidence in datasets.docs.aws.amazon.com/sagemaker/latest/dg/a2i-use-augmented-ai-a2i-human-review-loops.htmlRegistered: Fri May 17 01:41:55 UTC 2024 - Last Modified: Thu May 16 20:29:48 UTC 2024 - 17.1K bytes - Viewed (0) -
Attach an Amazon EBS volume to an instance - Am...
Attach an Amazon EBS volume that you have created to an EC2 instance.docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-attaching-volume.htmlRegistered: Fri Mar 01 01:40:38 UTC 2024 - Last Modified: Thu Feb 29 17:10:39 UTC 2024 - 18.3K bytes - Viewed (0) -
Amazon EBS and NVMe on Linux instances - Amazon...
EBS volumes are exposed as NVMe block devices on instances built on the Nitro System . The device names are /dev/nvme0n1 , /dev/nvme1n1 , and so on. The device names that you specify in a block device mapping are renamed using NVMe device names (docs.aws.amazon.com/AWSEC2/latest/UserGuide/nvme-ebs-volumes.htmlRegistered: Fri Mar 01 01:34:46 UTC 2024 - Last Modified: Thu Feb 29 17:10:59 UTC 2024 - 34.5K bytes - Viewed (0)