Statements (69)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:AI_technology
|
| gptkbp:developed_by |
gptkb:Microsoft
|
| https://www.w3.org/2000/01/rdf-schema#label |
Azure ML
|
| gptkbp:integrates_with |
gptkb:Azure_Active_Directory
gptkb:Azure_Data_Lake_Storage gptkb:monitor gptkb:Azure_Kubernetes_Service gptkb:Azure_Cognitive_Services gptkb:Azure_Synapse_Analytics gptkb:Azure_Blob_Storage gptkb:Azure_SQL_Database gptkb:Azure_Databricks gptkb:Power_BI gptkb:Azure_Functions gptkb:Azure_Logic_Apps gptkb:Azure_Dev_Ops gptkb:Azure_Marketplace |
| gptkbp:offers |
gptkb:knowledge
gptkb:Apache_Hive gptkb:Data_Analytics Resource Management SDKs Scalability Model Training Collaboration Features Model Management Data Governance Tools Data Preparation Tools Data Labeling Services Deployment Services Real-time Inferencing Data Exploration Tools Data Ingestion Tools |
| gptkbp:provides |
gptkb:Documentation
gptkb:user_interface gptkb:machine_learning User Management Cost Management Tools Monitoring Tools Security Features Training Resources Feedback Mechanisms Compliance Features Visual Interface Experiment Tracking Training Pipelines Experimentation Services |
| gptkbp:supports |
gptkb:Jupyter_Notebooks
gptkb:Python gptkb:R gptkb:Hyperparameter_Tuning gptkb:security gptkb:Data_Visualization Collaboration Tools Community Contributions Model Evaluation Data Quality Assessment Feature Engineering Multi-Cloud Environments REST APIs Version Control Containerization Data Science Workflows Custom Models Experiment Sharing Batch Inferencing |
| gptkbp:uses |
Machine Learning Algorithms
|
| gptkbp:bfsParent |
gptkb:MLflow
|
| gptkbp:bfsLayer |
5
|