Difference between revisions of "Amazon SageMaker"
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↑ https://aws.amazon.com/about-aws/whats-new/2017/11/introducing-amazon-sagemaker/
Line 2: | Line 2: | ||
[[Machine learning]] service to create, train, and deploy machine-learning (ML) models in AWS. | [[Machine learning]] service to create, train, and deploy machine-learning (ML) models in AWS. | ||
+ | { | ||
+ | "Version": "2012-10-17", | ||
+ | "Statement": [ | ||
+ | { | ||
+ | "Effect": "Allow", | ||
+ | "Action": [ | ||
+ | "s3:GetObject", | ||
+ | "s3:PutObject", | ||
+ | "s3:DeleteObject", | ||
+ | "s3:ListBucket" | ||
+ | ], | ||
+ | "Resource": [ | ||
+ | "arn:aws:s3:::*" | ||
+ | ] | ||
+ | } | ||
+ | ] | ||
+ | } | ||
* [[Amazon SageMaker Canvas]] | * [[Amazon SageMaker Canvas]] |
Revision as of 08:26, 2 May 2022
wikipedia:Amazon SageMaker (Nov 2017) [1] Machine learning service to create, train, and deploy machine-learning (ML) models in AWS.
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "s3:GetObject", "s3:PutObject", "s3:DeleteObject", "s3:ListBucket" ], "Resource": [ "arn:aws:s3:::*" ] } ] }
Related
See also
- AWS SageMaker,
aws sagemaker
- AWS ML: Amazon SageMaker, Amazon Kendra, AWS Forecast, Amazon Macie, Amazon Textract, Amazon SageMaker Canvas
- Machine learning, Deep learning, AWS Sagemaker, PyTorch, Kubeflow, TensorFlow, Keras, Torch, Spark ML, Tinygrad, Apple Neural Engine, Scikit-learn, MNIST, MLOps, AutoML, ClearML, PostgresML, AWS Batch, Transformer, Diffusion, Backpropagation, JAX, Vector database, LLM, The Forrester Wave: AI/ML Platforms
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