Difference between revisions of "Amazon SageMaker"
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↑ https://aws.amazon.com/about-aws/whats-new/2017/11/introducing-amazon-sagemaker/
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[[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. | ||
| + | == Example IAM Policies == | ||
| + | <code>[[AmazonSageMakerFeatureStoreAccess]]</code> | ||
{ | { | ||
"Version": "2012-10-17", | "Version": "2012-10-17", | ||
| Line 8: | Line 10: | ||
"Effect": "Allow", | "Effect": "Allow", | ||
"Action": [ | "Action": [ | ||
| − | "s3:GetObject", | + | "[[s3:GetObject]]", |
| − | "s3:PutObject", | + | "[[s3:PutObject]]", |
| − | "s3:DeleteObject", | + | "[[s3:DeleteObject]]", |
| − | "s3:ListBucket" | + | "[[s3:ListBucket]]" |
], | ], | ||
"Resource": [ | "Resource": [ | ||
| Line 25: | Line 27: | ||
* [[AmazonSageMakerFullAccess]] | * [[AmazonSageMakerFullAccess]] | ||
* [[ScheduleConfig]] | * [[ScheduleConfig]] | ||
| + | * [[Colab]] | ||
| + | |||
| + | == Activities == | ||
| + | * Read https://aws.amazon.com/blogs/machine-learning/train-fraudulent-payment-detection-with-amazon-sagemaker/ | ||
== See also == | == See also == | ||
Latest revision as of 05:26, 24 January 2023
wikipedia:Amazon SageMaker (Nov 2017) [1] Machine learning service to create, train, and deploy machine-learning (ML) models in AWS.
Example IAM Policies[edit]
AmazonSageMakerFeatureStoreAccess
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"s3:GetObject",
"s3:PutObject",
"s3:DeleteObject",
"s3:ListBucket"
],
"Resource": [
"arn:aws:s3:::*"
]
}
]
}
Related[edit]
Activities[edit]
See also[edit]
- 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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