|
gptkbp:instance_of
|
gptkb:software
|
|
gptkbp:allows
|
model evaluation
model training
deployment of models
custom code execution
|
|
gptkbp:can_be_used_for
|
predictive analytics
|
|
gptkbp:developed_by
|
gptkb:Microsoft
|
|
gptkbp:enables
|
gptkb:collaboration
|
|
gptkbp:features
|
pre-built algorithms
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Machine Learning Studio
|
|
gptkbp:integrates_with
|
gptkb:My_SQL
gptkb:Power_BI
gptkb:Azure
gptkb:Excel
|
|
gptkbp:is_accessible_by
|
web interface
|
|
gptkbp:is_available_in
|
multiple languages
|
|
gptkbp:is_available_on
|
gptkb:cloud_computing
|
|
gptkbp:is_compatible_with
|
gptkb:Linux
gptkb:mac_OS
gptkb:Windows
|
|
gptkbp:is_effective_against
|
yes
|
|
gptkbp:is_often_used_in
|
yes
|
|
gptkbp:is_part_of
|
gptkb:Azure_Machine_Learning
data science ecosystem
Microsoft Azure services
|
|
gptkbp:is_scalable
|
yes
|
|
gptkbp:is_updated_by
|
yes
|
|
gptkbp:is_used_by
|
gptkb:developers
business analysts
data scientists
|
|
gptkbp:is_used_for
|
feature engineering
|
|
gptkbp:is_user_friendly
|
yes
|
|
gptkbp:offers
|
API access
data visualization
visualization tools
experiment tracking
model management
|
|
gptkbp:provides
|
community support
user management
data preprocessing tools
notebooks
drag-and-drop interface
data connectors
|
|
gptkbp:security
|
yes
|
|
gptkbp:suitable_for
|
gptkb:enterprise_solutions
educational purposes
small businesses
|
|
gptkbp:supports
|
gptkb:Python
gptkb:R
gptkb:machine_learning
big data
real-time analytics
model deployment
machine learning workflows
|
|
gptkbp:used_for
|
data analysis
|
|
gptkbp:bfsParent
|
gptkb:Microsoft_AI
|
|
gptkbp:bfsLayer
|
6
|