Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
cloud-based machine learning platform
|
| gptkbp:developedBy |
gptkb:Microsoft
|
| gptkbp:hasFeature |
gptkb:REST_API
gptkb:collaboration gptkb:model endpoint management security and compliance monitoring role-based access control CLI model versioning SDK compute management data drift detection integration with Visual Studio Code integration with Jupyter Notebooks drag-and-drop designer explainability responsible AI tools |
| https://www.w3.org/2000/01/rdf-schema#label |
Azure ML
|
| gptkbp:integratesWith |
gptkb:GitHub
gptkb:TensorFlow gptkb:Azure_Container_Instances gptkb:Azure_Kubernetes_Service gptkb:Power_BI gptkb:Azure_Data_Lake gptkb:Azure_Synapse_Analytics gptkb:PyTorch gptkb:scikit-learn gptkb:Azure_Blob_Storage gptkb:ONNX gptkb:Azure_DevOps gptkb:MLflow |
| gptkbp:launched |
2015
|
| gptkbp:officialWebsite |
https://azure.microsoft.com/en-us/services/machine-learning/
|
| gptkbp:partOf |
gptkb:Microsoft_Azure
|
| gptkbp:providesService |
data storage
hyperparameter tuning data labeling model deployment pipelines automated machine learning experiment tracking model management model training notebook compute |
| gptkbp:supportsLanguage |
gptkb:Python
R |
| gptkbp:usedFor |
gptkb:MLOps
data science machine learning lifecycle management AI model deployment |
| gptkbp:bfsParent |
gptkb:Kubeflow_Pipelines
gptkb:Databricks_MLflow gptkb:MLflow |
| gptkbp:bfsLayer |
6
|