Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Software Platform
|
| gptkbp:aimsTo |
Enhance Collaboration
Accelerate Model Development Simplify_Data_Science_Workflows |
| gptkbp:availableIn |
Cloud
Local Environment |
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:features |
gptkb:Jupyter_Notebooks
Collaborative Environment Data_Visualization_Tools Machine_Learning_Algorithms |
| gptkbp:hasCompetitors |
gptkb:Google_Cloud_AI_Platform
gptkb:Microsoft_Azure_Machine_Learning gptkb:TIBCO_Spotfire Amazon SageMaker DataRobot H2O.ai Alteryx KNIME RapidMiner SAS Viya |
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Data Science Experience
|
| gptkbp:includes |
Model Monitoring
Version Control Experiment Tracking Data_Science_Lifecycle_Management |
| gptkbp:integratesWith |
gptkb:IBM_Watson
|
| gptkbp:isIntegratedWith |
gptkb:Apache_Spark
gptkb:Hadoop NoSQL Databases SQL Databases Data_Lakes |
| gptkbp:isPartOf |
gptkb:IBM_Cloud_Pak_for_Data
|
| gptkbp:isUsedIn |
Education
Research Industry Projects |
| gptkbp:offers |
Tutorials
Documentation Community Support |
| gptkbp:provides |
Collaboration Features
Model Deployment Tools Data_Preparation_Tools |
| gptkbp:providesAccessTo |
Public Datasets
Private Datasets |
| gptkbp:purpose |
Data_Science_and_Machine_Learning
|
| gptkbp:releasedIn |
2017
|
| gptkbp:supports |
Python
Scala R |
| gptkbp:usedBy |
Data Analysts
Business Analysts Data_Scientists |