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gptkbp:instanceOf
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gptkb:cloud_machine_learning_platform
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gptkbp:developedBy
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gptkb:Amazon
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gptkbp:features
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gptkb:SageMaker_Autopilot
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_JumpStart
gptkb:SageMaker_Model_Monitor
gptkb:SageMaker_Model_Registry
gptkb:SageMaker_Neo
gptkb:SageMaker_Pipelines
gptkb:SageMaker_Studio
gptkb:SageMaker_Studio_Lab
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|
gptkbp:integratesWith
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gptkb:AWS_Glue
gptkb:AWS_IAM
gptkb:Amazon_EC2
gptkb:Amazon_S3
gptkb:Amazon_ECR
gptkb:AWS_CloudWatch
gptkb:AWS_Lambda
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|
gptkbp:launched
|
2017
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gptkbp:partOf
|
gptkb:Amazon_Web_Services
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gptkbp:platform
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gptkb:TensorFlow
gptkb:XGBoost
gptkb:Chainer
gptkb:SparkML
gptkb:MXNet
gptkb:PyTorch
gptkb:Scikit-learn
gptkb:Hugging_Face_Transformers
|
|
gptkbp:providesService
|
data labeling
model deployment
model monitoring
distributed training
hyperparameter optimization
model training
model hosting
automatic model tuning
built-in algorithms
notebook instances
inference endpoints
|
|
gptkbp:supportsLanguage
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gptkb:Python
R
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gptkbp:usedFor
|
gptkb:machine_learning
data science
deep learning
automated machine learning
model monitoring
AI model deployment
|
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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:CloudWatch_Events
|
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gptkbp:bfsLayer
|
7
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
AWS Sagemaker
|