Azure Machine Learning service

GPTKB entity

Statements (68)
Predicate Object
gptkbp:instance_of gptkb:Cloud_Computing_Service
gptkbp:bfsLayer 5
gptkbp:bfsParent gptkb:Azure_ML_Workbench
gptkbp:developed_by gptkb:Microsoft
https://www.w3.org/2000/01/rdf-schema#label Azure Machine Learning service
gptkbp:integrates_with gptkb:Azure_Active_Directory
gptkb:Azure_Data_Lake_Storage
gptkb:philosopher
gptkb:Azure_Cognitive_Services
gptkb:Azure_Blob_Storage
gptkb:Azure_SQL_Database
gptkb:Azure_Databricks
gptkb:Power_BI
gptkb:Azure_Dev_Ops
gptkb:technology
gptkbp:offers gptkb:software_framework
community support
monitoring tools
training resources
user-friendly interface
custom model training
data preparation tools
model deployment
cost management tools
visual interface
model management
batch inference
deployment options
experiment reproducibility
model serving
model interpretability tools
pipeline orchestration
gptkbp:provides hyperparameter tuning
resource management
scalability
security features
user management
machine learning capabilities
model versioning
data ingestion tools
notebooks
experiment tracking
real-time inference
experiment management
data privacy features
data labeling services
data exploration tools
scoring services
AI model lifecycle management
gptkbp:supports gptkb:lake
gptkb:fortification
gptkb:Jupyter_Notebooks
gptkb:R
gptkb:Cloud_Computing_Service
gptkb:Library
collaborative development
data governance
data visualization
multi-cloud environments
data science
model evaluation
distributed training
model optimization
open-source frameworks
edge deployment
AI ethics.
RESTAP Is
M Lflow