Azure Machine Learning Studio
GPTKB entity
Statements (93)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Microsoft_cloud_services
|
| gptkbp:allows |
team collaboration
data preparation custom model creation |
| gptkbp:developed_by |
gptkb:Microsoft
|
| gptkbp:enables |
model training
real-time scoring |
| gptkbp:facilitates |
model deployment
|
| https://www.w3.org/2000/01/rdf-schema#label |
Azure Machine Learning Studio
|
| gptkbp:includes |
visualization tools
|
| gptkbp:integrates_with |
Azure cloud services
|
| gptkbp:is_accessible_by |
web interface
|
| gptkbp:is_available_in |
multiple regions
|
| gptkbp:is_compatible_with |
gptkb:Azure_Blob_Storage
gptkb:Azure_SQL_Database gptkb:Azure_Databricks |
| gptkbp:is_designed_for |
gptkb:High_School
|
| gptkbp:is_integrated_with |
gptkb:Power_BI
|
| gptkbp:is_part_of |
gptkb:Microsoft_Azure
Azure ecosystem |
| gptkbp:is_used_by |
data scientists
machine learning engineers |
| gptkbp:is_used_for |
gptkb:sports_team
business intelligence environmental monitoring financial modeling natural language processing predictive analytics supply chain optimization customer segmentation fraud detection image classification recommendation systems time series forecasting healthcare analytics anomaly detection customer feedback analysis social media analysis workforce analytics marketing analytics real estate analysis energy consumption forecasting telecommunications analytics transportation analytics product recommendation systems |
| gptkbp:offers |
gptkb:software_framework
experiment tracking data enrichment services pre-built algorithms data labeling services model deployment options cloud-based resources data science competitions data visualization dashboards model management tools cloud-based training model interpretability tools data science training resources |
| gptkbp:provides |
API access
customizable workflows data visualization tools real-time analytics security features user-friendly interface model evaluation metrics model versioning collaboration features user support services drag-and-drop interface data privacy features data connectors collaborative notebooks integration with Azure Dev Ops |
| gptkbp:released_in |
gptkb:2015
|
| gptkbp:supports |
gptkb:R
gptkb:Library gptkb:Jupyter_notebooks data governance data ingestion data integration data transformation data visualization hyperparameter tuning multiple programming languages containerization data exploration data pipelines data quality assessment data science workflows batch scoring scalable computing |