Statements (58)
Predicate | Object |
---|---|
gptkbp:instanceOf |
Software
|
gptkbp:developedBy |
gptkb:IBM
|
gptkbp:enables |
Model deployment
|
gptkbp:features |
Version control
Interactive notebooks Data preparation tools |
gptkbp:has |
User-friendly interface
Community support Security features |
https://www.w3.org/2000/01/rdf-schema#label |
Data Science Workbench
|
gptkbp:integratesWith |
gptkb:IBM_Cloud
|
gptkbp:isAvailableIn |
Multiple languages
Cloud On-premises |
gptkbp:isCompatibleWith |
gptkb:Apache_Spark
gptkb:Hadoop Jupyter |
gptkbp:isDesignedFor |
Enterprise use
|
gptkbp:isKnownFor |
Ease of use
Data visualization tools Collaboration features Integration capabilities Machine learning support |
gptkbp:isOptimizedFor |
Performance
|
gptkbp:isPartOf |
gptkb:IBM_Analytics_portfolio
gptkb:IBM_Watson_Studio Data_Science_ecosystem |
gptkbp:isPromotedBy |
IBM_marketing
|
gptkbp:isSuitableFor |
Yes
|
gptkbp:isSupportedBy |
IBM_support_team
|
gptkbp:isTargetedAt |
Businesses
Government agencies Educational institutions Non-profits |
gptkbp:isUsedBy |
Researchers
Data scientists Analysts |
gptkbp:isUsedFor |
Yes
Predictive analytics Text analytics Image analytics |
gptkbp:offers |
Collaboration features
Machine learning capabilities |
gptkbp:provides |
Collaboration tools
Data visualization Documentation APIs for integration Data connectors |
gptkbp:releasedIn |
2016
|
gptkbp:supports |
gptkb:SQL
Data mining Python Statistical analysis R Machine learning frameworks Big data technologies Data wrangling |
gptkbp:usedFor |
Data analysis
|