IBM Cloud Pak for Watson Studio Academic Edition
GPTKB entity
Statements (50)
Predicate | Object |
---|---|
gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
gptkbp:allows |
data visualization
|
gptkbp:compatibleWith |
various data sources
|
gptkbp:developedBy |
gptkb:IBM
|
gptkbp:enables |
model deployment
|
gptkbp:facilitates |
AI model training
|
https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Watson Studio Academic Edition
|
gptkbp:includes |
gptkb:Jupyter_Notebooks
data preparation tools collaborative workspaces |
gptkbp:integration |
IBM_Watson_services
|
gptkbp:is_accessible_by |
web interface
|
gptkbp:is_aimed_at |
higher education
|
gptkbp:is_available_in |
gptkb:IBM_Cloud_platform
free for students academic users |
gptkbp:is_designed_to |
academic institutions
foster innovation hands-on learning enhance learning support research and development. |
gptkbp:is_part_of |
IBM's_cloud_offerings
IBM_Cloud_Pak_family IBM's_AI_education_strategy IBM's_educational_initiatives |
gptkbp:is_used_in |
students
educators research projects data analysis projects capstone_projects |
gptkbp:offers |
real-time data analysis
cloud-based solutions data governance features collaboration features workshops and tutorials |
gptkbp:provides |
model evaluation tools
access to datasets automated machine learning capabilities data science tools scalable resources API_access |
gptkbp:provides_access_to |
IBM_Cloud_resources
|
gptkbp:suitableFor |
data-driven education
|
gptkbp:supports |
machine learning
team collaboration data integration interactive learning big data analytics Python programming R programming |