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gptkbp:instanceOf
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cloud machine learning platform
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gptkbp:developedBy
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gptkb:Amazon_Web_Services
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https://www.w3.org/2000/01/rdf-schema#label
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AWS SageMaker
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gptkbp:integratesWith
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gptkb:AWS_Glue
gptkb:AWS_IAM
gptkb:AWS_Step_Functions
gptkb:Amazon_EC2
gptkb:Amazon_S3
gptkb:Amazon_Redshift
gptkb:AWS_CloudWatch
gptkb:AWS_Lambda
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gptkbp:launched
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2017
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gptkbp:offersService
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gptkb:SageMaker_Autopilot
gptkb:SageMaker_Batch_Transform
gptkb:SageMaker_Canvas
gptkb:SageMaker_Clarify
gptkb:SageMaker_Data_Wrangler
gptkb:SageMaker_Debugger
gptkb:SageMaker_Edge_Manager
gptkb:SageMaker_Experiments
gptkb:SageMaker_Feature_Store
gptkb:SageMaker_Ground_Truth
gptkb:SageMaker_Inference_Recommender
gptkb:SageMaker_JumpStart
gptkb:SageMaker_Model_Monitor
gptkb:SageMaker_Model_Registry
gptkb:SageMaker_Neo
gptkb:SageMaker_Pipelines
gptkb:SageMaker_Processing
gptkb:SageMaker_Profiler
gptkb:SageMaker_Studio
gptkb:SageMaker_Studio_Lab
gptkb:SageMaker_Training_Compiler
autopilot
data labeling
model deployment
model monitoring
feature store
model training
ground truth
model tuning
notebook instances
|
|
gptkbp:platform
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gptkb:Hugging_Face
gptkb:TensorFlow
gptkb:XGBoost
gptkb:Chainer
gptkb:SparkML
gptkb:MXNet
gptkb:PyTorch
gptkb:Scikit-learn
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gptkbp:regionAvailability
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global
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gptkbp:supportedBy
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gptkb:Python_SDK
gptkb:REST_API
gptkb:Boto3
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gptkbp:supportsLanguage
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gptkb:Python
R
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gptkbp:usedFor
|
gptkb:MLOps
gptkb:machine_learning
data science
deep learning
data preprocessing
automated machine learning
model explainability
model inference
model hosting
|
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gptkbp:website
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https://aws.amazon.com/sagemaker/
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|
gptkbp:bfsParent
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gptkb:AWS_CloudFormation
gptkb:AWS
gptkb:Amazon_EventBridge
gptkb:Amazon_AI
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gptkbp:bfsLayer
|
5
|