IBM Cloud Data Science Platform
GPTKB entity
Statements (66)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:developedBy |
gptkb:IBM
|
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Data Science Platform
|
| gptkbp:includes |
gptkb:Jupyter_Notebooks
Collaboration Workspaces |
| gptkbp:integratesWith |
gptkb:SQL
gptkb:IBM_Watson gptkb:Apache_Spark gptkb:Hadoop Python TensorFlow Power BI R Tableau Git Django |
| gptkbp:offers |
gptkb:Automated_Machine_Learning
Scalability Collaboration Features Community Support Cost Management Tools Customizable Dashboards APIs for Integration Experiment Management Version Control for Models Data Cataloging Features User Feedback Tools Data_Visualization_Tools Data_Science_Certifications Data_Science_Competitions Resource_Management_Tools Interactive_Data_Exploration Data_Import/Export_Features |
| gptkbp:provides |
Security Features
Training Resources Feedback Mechanisms Compliance Features Performance Monitoring Tools Cloud Storage Options Documentation and Tutorials Experiment Tracking Data Sources Connectivity Model Monitoring Tools User_Management_Features Data_Preparation_Tools Data_Science_Frameworks Data_Science_Tools Model_Deployment_Services User_Interface_for_Data_Scientists |
| gptkbp:supports |
Artificial Intelligence
Data Analysis Data Privacy Machine Learning Predictive Analytics Data Governance Data Sharing Data Transformation Multi-cloud Environments Data Enrichment Open Source Frameworks Big_Data_Analytics Data_Quality_Management Real-time_Data_Processing Data_Analytics_Workflows Data_Pipeline_Automation Data_Science_Lifecycle_Management |