Statements (66)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Microsoft_cloud_services
|
| gptkbp:allows |
visualization of data
|
| gptkbp:can_be_used_with |
gptkb:Azure_Databricks
|
| gptkbp:developed_by |
gptkb:Microsoft
|
| gptkbp:enables |
data exploration
model training experiment tracking |
| gptkbp:exported_to |
trained models
|
| gptkbp:facilitates |
collaboration among data scientists
|
| https://www.w3.org/2000/01/rdf-schema#label |
Azure ML Designer
|
| gptkbp:includes |
pre-built modules
|
| gptkbp:integrates_with |
gptkb:Azure_Machine_Learning
|
| gptkbp:is_accessible_by |
beginners
web interface |
| gptkbp:is_available_for |
gptkb:High_School
|
| gptkbp:is_available_in |
multiple languages
|
| gptkbp:is_available_on |
gptkb:Azure_cloud_platform
|
| gptkbp:is_compatible_with |
gptkb:R_programming_language
gptkb:Jupyter_notebooks |
| gptkbp:is_designed_for |
enterprise users
|
| gptkbp:is_integrated_with |
gptkb:Power_BI
gptkb:Azure_Dev_Ops |
| gptkbp:is_optimized_for |
scalability
|
| gptkbp:is_part_of |
gptkb:Microsoft_Azure
Azure ecosystem Azure AI services AI development lifecycle data science workflow |
| gptkbp:is_supported_by |
gptkb:document
|
| gptkbp:is_used_by |
data analysts
machine learning engineers |
| gptkbp:is_used_for |
predictive analytics
customer segmentation feature engineering image classification recommendation systems time series forecasting anomaly detection text analytics building machine learning models |
| gptkbp:is_used_in |
gptkb:academic_research
|
| gptkbp:offers |
API access
model evaluation tools automated machine learning capabilities data visualization options |
| gptkbp:provides |
data transformation capabilities
data ingestion tools drag-and-drop interface collaborative workspaces real-time scoring model deployment options model interpretability tools data labeling features |
| gptkbp:supports |
data preprocessing
data governance hyperparameter tuning multiple data sources real-time analytics data privacy compliance model versioning ensemble learning Python scripting custom model deployment cloud-based computing |