Oracle Data Science Cloud

GPTKB entity

Statements (63)
Predicate Object
gptkbp:instanceOf gptkb:Cloud_Computing_Service
gptkbp:enables Data Sharing
Model Deployment
Real-time_Data_Processing
gptkbp:facilitates Predictive Analytics
Data-driven Decision Making
Experiment Tracking
Data_Exploration
Data_Pipeline_Creation
gptkbp:features gptkb:Automated_Machine_Learning
Interactive Dashboards
Custom Model Development
Model Training Capabilities
User-friendly_Interface
https://www.w3.org/2000/01/rdf-schema#label Oracle Data Science Cloud
gptkbp:includes Collaboration Features
Documentation and Tutorials
Version Control for Models
Data_Preparation_Tools
Data_Quality_Tools
gptkbp:integratesWith gptkb:Oracle_Cloud_Infrastructure
gptkb:Oracle_Machine_Learning
Third-party Data Sources
gptkbp:offers gptkb:Jupyter_Notebooks
Community Support
Customizable Workflows
Training Resources
Integration with AI Services
Pre-built Algorithms
Scoring and Evaluation Tools
Machine_Learning_Services
Data_Science_Competitions
Cloud-based_Storage_Solutions
Integration_with_Oracle_Analytics_Cloud
gptkbp:provides gptkb:Data_Science_Workbench
Collaboration Tools
Scalable Infrastructure
Security Features
Performance Monitoring Tools
Support for Data Lakes
Scalable Data Processing
API_Access
Data_Visualization_Tools
User_Management_Tools
Data_Science_Frameworks
Data_Science_Tools
gptkbp:supports Data Analysis
Data Governance
Data Transformation
Team Collaboration
Model Monitoring
Multi-cloud Environments
Data Enrichment
Data Science Best Practices
Python and R Programming
Big_Data_Analytics
Data_Science_Projects
Data_Science_Research
Data_Import_and_Export
Data_Science_Lifecycle_Management
Collaboration_among_Data_Scientists
Data_Science_Innovation
gptkbp:utilizes gptkb:Oracle_Autonomous_Database