IBM Cloud Data Science Toolkit
GPTKB entity
Properties (60)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:physicist
|
| gptkbp:allows |
data visualization
real-time data processing |
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:enables |
model deployment
|
| gptkbp:facilitates |
collaborative data science projects
|
| gptkbp:features |
data preparation tools
|
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Data Science Toolkit
|
| gptkbp:includes |
gptkb:Jupyter_Notebooks
data connectors APIs for data access visualization libraries |
| gptkbp:integratesWith |
gptkb:IBM_Watson
|
| gptkbp:isAccessibleBy |
web interface
|
| gptkbp:isAvailableIn |
gptkb:IBM_Cloud
multiple languages enterprise use |
| gptkbp:isCompatibleWith |
gptkb:SQL
Docker |
| gptkbp:isIntegratedWith |
gptkb:IBM_Cloud_Pak_for_Data
|
| gptkbp:isPartOf |
IBM_Cloud_ecosystem
IBM_AI_offerings |
| gptkbp:isUsedBy |
data scientists
|
| gptkbp:isUsedFor |
predictive analytics
|
| gptkbp:isUtilizedFor |
data analysts
|
| gptkbp:isUtilizedIn |
academic research
financial services retail analytics sports analytics business analytics marketing analytics government analytics telecommunications analytics transportation analytics energy analytics manufacturing analytics logistics analytics healthcare_analytics |
| gptkbp:offers |
data governance features
machine learning capabilities data modeling tools automated machine learning data science lifecycle management |
| gptkbp:provides |
data analysis tools
model evaluation tools data security features data import/export capabilities interactive dashboards cloud-based storage notebook sharing features |
| gptkbp:providesAccessTo |
gptkb:IBM_Cloud_Object_Storage
|
| gptkbp:supports |
Python
cloud computing team collaboration data mining big data analytics R programming data exploration open-source libraries data wrangling |