Azure Machine Learning Studio
GPTKB entity
Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
cloud-based machine learning platform
|
| gptkbp:developedBy |
gptkb:Microsoft
|
| https://www.w3.org/2000/01/rdf-schema#label |
Azure Machine Learning Studio
|
| gptkbp:launched |
2015
|
| gptkbp:offersFreeTier |
true
|
| gptkbp:partOf |
gptkb:Microsoft_Azure
|
| gptkbp:provides |
gptkb:REST_API
gptkb:collaboration gptkb:personal_computer drag-and-drop interface hyperparameter tuning security features compliance certifications data labeling model deployment model evaluation model interpretability pipelines visualization tools role-based access control automated machine learning data preparation model monitoring batch inference experiment tracking model versioning integration with GitHub integration with Power BI model management real-time inference SDK integration with Azure Blob Storage model training data drift detection integration with Jupyter Notebooks responsible AI tools integration with Azure DevOps integration with PyTorch integration with Azure Data Lake compute resources integration with TensorFlow integration with Azure Key Vault integration with Azure Kubernetes Service integration with Azure Databricks integration with ONNX integration with Scikit-learn |
| gptkbp:supportsLanguage |
gptkb:Python
R |
| gptkbp:usedFor |
gptkb:machine_learning
data science AI model deployment |
| gptkbp:website |
https://studio.azureml.net/
|
| gptkbp:bfsParent |
gptkb:Microsoft_Azure_AutoML
|
| gptkbp:bfsLayer |
7
|