Amazon SageMaker

E293756

Amazon Web Services service cloud machine learning platform managed service

Amazon SageMaker is a fully managed cloud service that enables developers and data scientists to build, train, and deploy machine learning models at scale.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (29)

Label	Occurrences
Amazon SageMaker canonical	5
SageMaker Asynchronous Inference	1
SageMaker Autopilot	1
SageMaker Batch Transform	1
SageMaker Canvas	1
SageMaker Clarify	1
SageMaker Data Wrangler	1
SageMaker Debugger	1
SageMaker Domain	1
SageMaker Edge Manager	1
SageMaker Experiments	1
SageMaker Feature Store	1
SageMaker Ground Truth	1
SageMaker Hyperparameter Tuning Jobs	1
SageMaker Inference Endpoints	1
SageMaker JumpStart	1
SageMaker Local Mode	1
SageMaker Model Monitor	1
SageMaker Model Registry	1
SageMaker Multi-model Endpoints	1
SageMaker Neo	1
SageMaker Notebook Instances	1
SageMaker Pipelines	1
SageMaker Processing Jobs	1
SageMaker Projects	1
SageMaker SDK for Python	1
SageMaker Training Compiler	1
SageMaker Training Jobs	1
SageMaker Training on Spot Instances	1

Statements (90)

Predicate	Object
instanceOf	Amazon Web Services service ⓘ cloud machine learning platform ⓘ managed service ⓘ
accessModel	pay-as-you-go ⓘ
announcedAt	Amazon Web Services re:Invent 2017 ⓘ surface form: AWS re:Invent 2017
deploymentModel	software as a service ⓘ
developer	Amazon Web Services ⓘ
hasFeature	Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Asynchronous Inference Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Autopilot Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Batch Transform Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Canvas Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Clarify Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Data Wrangler Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Debugger SageMaker Distributed Data Parallel ⓘ Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Domain Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Edge Manager Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Experiments Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Feature Store Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Ground Truth Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Hyperparameter Tuning Jobs Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Inference Endpoints Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker JumpStart Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Local Mode Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Model Monitor SageMaker Model Parallelism ⓘ Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Model Registry SageMaker Multi-container Endpoints ⓘ Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Multi-model Endpoints Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Neo Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Notebook Instances Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Pipelines Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Processing Jobs SageMaker Profiler ⓘ Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Projects SageMaker Real-time Inference ⓘ Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker SDK for Python SageMaker Serverless Inference ⓘ SageMaker Studio ⓘ SageMaker Studio ⓘ surface form: SageMaker Studio Lab SageMaker Studio ⓘ surface form: SageMaker Studio Notebooks Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Training Compiler Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Training Jobs Amazon SageMaker self-linksurface differs ⓘ surface form: SageMaker Training on Spot Instances
industry	cloud computing ⓘ machine learning ⓘ
integratesWith	AWS CloudTrail ⓘ AWS Glue ⓘ AWS Identity and Access Management ⓘ AWS Key Management Service ⓘ AWS Lambda ⓘ AWS Step Functions ⓘ Amazon CloudWatch ⓘ Amazon ECR ⓘ Amazon EMR ⓘ Amazon Redshift ⓘ Amazon S3 ⓘ Amazon VPC ⓘ
launchDate	2017-11 ⓘ
operatedBy	Amazon Web Services ⓘ
owner	Amazon ⓘ surface form: Amazon.com, Inc.
partOf	Amazon Web Services ⓘ
provider	Amazon Web Services ⓘ
regionAvailability	multiple AWS regions worldwide ⓘ
runsOn	Amazon Web Services ⓘ surface form: AWS cloud infrastructure
supportsFramework	MXNet ⓘ surface form: Apache MXNet CatBoost ⓘ Hugging Face Transformers ⓘ LightGBM ⓘ PyTorch ⓘ scikit-learn ⓘ surface form: Scikit-learn TensorFlow ⓘ XGBoost ⓘ
supportsLanguage	Python ⓘ R ⓘ
supportsStandard	Docker ⓘ Kubernetes-compatible containers ⓘ
supportsUseCase	MLOps ⓘ automated machine learning ⓘ batch inference ⓘ data labeling ⓘ explainable AI ⓘ feature engineering ⓘ model deployment ⓘ model monitoring ⓘ model training ⓘ real-time inference ⓘ
targetUser	data scientists ⓘ developers ⓘ machine learning engineers ⓘ