Properties (74)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Software
|
| gptkbp:allows |
Team collaboration
Model evaluation Model deployment |
| gptkbp:developedBy |
gptkb:Microsoft
|
| gptkbp:enables |
Predictive analytics
|
| gptkbp:features |
Collaboration tools
Version control Security features Customizable dashboards Interactive visualizations Scalability options |
| https://www.w3.org/2000/01/rdf-schema#label |
Machine Learning Studio
|
| gptkbp:includes |
Data preparation tools
Data connectors |
| gptkbp:integratesWith |
Azure
|
| gptkbp:isAccessibleBy |
Web browser
|
| gptkbp:isAvailableIn |
Mobile devices
Multiple languages Cloud Enterprise users |
| gptkbp:isCompatibleWith |
gptkb:SQL_Server
Various data sources Open source tools |
| gptkbp:isIntegratedWith |
Power BI
Azure DevOps |
| gptkbp:isPartOf |
gptkb:Azure_Machine_Learning
AI development tools Microsoft_Azure_ecosystem |
| gptkbp:isUsedBy |
Researchers
Data scientists |
| gptkbp:isUsedFor |
Sentiment analysis
Business intelligence Fraud detection Marketing analytics Supply chain optimization Image recognition Healthcare_analytics |
| gptkbp:offers |
Customer support
Machine learning algorithms Integration with GitHub Data import/export Data exploration tools Automated machine learning Training and testing models |
| gptkbp:provides |
Performance monitoring
Documentation Community forums User management Training resources Visual interface Experiment tracking User feedback options Real-time scoring Model management API_access |
| gptkbp:releasedIn |
2015
|
| gptkbp:supports |
gptkb:Jupyter_Notebooks
Big data Cloud computing Natural language processing Python Time series analysis R Data visualization Batch processing Web services Feature engineering Data lakes Machine learning frameworks Data science workflows Data wrangling Custom code |
| gptkbp:usedFor |
Data analysis
|