IBM Data Science Experience

GPTKB entity

Statements (58)
Predicate Object
gptkbp:instance_of gptkb:Web
gptkbp:allows data exploration
gptkbp:designed_for data scientists
gptkbp:developed_by gptkb:IBM
gptkbp:enables model deployment
gptkbp:features data visualization tools
https://www.w3.org/2000/01/rdf-schema#label IBM Data Science Experience
gptkbp:includes gptkb:Jupyter_Notebooks
machine learning models
collaborative workspaces
visualization libraries
gptkbp:integrates_with gptkb:IBM_Watson
gptkbp:is_available_for enterprise users
individual users
gptkbp:is_available_in multiple languages
gptkbp:is_available_on gptkb:cloud_computing
on-premises
gptkbp:is_compatible_with gptkb:Apache_Spark
gptkb:Hadoop
gptkbp:is_integrated_with gptkb:IBM_Cloud_Pak_for_Data
gptkbp:is_known_for user-friendly interface
gptkbp:is_part_of gptkb:IBM_Analytics
gptkb:IBM_Cloud
IBM Data and AI portfolio
gptkbp:is_promoted_by IBM marketing
gptkbp:is_recognized_by industry experts
gptkbp:is_supported_by IBM community
gptkbp:is_used_by gptkb:students
gptkb:researchers
business analysts
data engineers
gptkbp:is_used_for predictive analytics
statistical analysis
data mining
gptkbp:offers gptkb:machine_learning
training resources
APIs for integration
machine learning capabilities
data science lifecycle management
data science certifications
gptkbp:provides collaborative tools
user documentation
data governance features
data preparation tools
collaboration features
data import tools
notebook sharing capabilities
gptkbp:released_in gptkb:2017
gptkbp:supports gptkb:SQL
gptkb:Python
gptkb:R
real-time analytics
big data analytics
data export
data wrangling
gptkbp:bfsParent gptkb:IBM_Cloud_Pak_for_Integration
gptkb:IBM
gptkbp:bfsLayer 4