Statements (66)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:allows |
data preprocessing
|
| gptkbp:developed_by |
gptkb:Microsoft
|
| gptkbp:enables |
model deployment
|
| gptkbp:facilitates |
gptkb:collaboration
|
| gptkbp:features |
drag-and-drop interface
|
| gptkbp:has |
gptkb:document
community support |
| https://www.w3.org/2000/01/rdf-schema#label |
Microsoft Azure Auto ML
|
| gptkbp:includes |
data labeling
|
| gptkbp:integrates_with |
gptkb:Azure_Machine_Learning
|
| gptkbp:is_accessible_by |
web interface
command line interface |
| gptkbp:is_available_in |
gptkb:Cloud_Computing_Service
multiple languages |
| gptkbp:is_compatible_with |
gptkb:HIPAA
gptkb:GDPR |
| gptkbp:is_designed_for |
business analysts
data scientists |
| gptkbp:is_designed_to |
reduce time to market
improve model accuracy simplify machine learning process |
| gptkbp:is_part_of |
gptkb:Microsoft_Azure
gptkb:railway_line Microsoft ecosystem |
| gptkbp:is_scalable |
gptkb:battle
|
| gptkbp:is_used_for |
business intelligence
predictive analytics supply chain optimization text analysis customer segmentation fraud detection image classification recommendation systems sales forecasting anomaly detection churn prediction |
| gptkbp:is_used_in |
healthcare
finance manufacturing marketing retail |
| gptkbp:offers |
hyperparameter tuning
custom model training model interpretability model management pre-built models |
| gptkbp:provides |
API access
data visualization tools model evaluation automated model training explainability tools scoring and monitoring |
| gptkbp:suitable_for |
large enterprises
small businesses |
| gptkbp:supports |
gptkb:R
gptkb:Library gptkb:computer multiple data sources real-time predictions time series forecasting regression |
| gptkbp:updates |
gptkb:battle
|
| gptkbp:uses |
machine learning algorithms
|
| gptkbp:bfsParent |
gptkb:Auto_ML
|
| gptkbp:bfsLayer |
4
|