Microsoft Azure Machine Learning
GPTKB entity
Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
cloud-based machine learning platform
|
| gptkbp:category |
machine learning as a service
|
| gptkbp:developedBy |
gptkb:Microsoft
|
| https://www.w3.org/2000/01/rdf-schema#label |
Microsoft Azure Machine Learning
|
| gptkbp:integratesWith |
gptkb:GitHub
gptkb:Azure_Data_Lake gptkb:Azure_Databricks gptkb:Azure_Synapse_Analytics gptkb:Azure_DevOps |
| gptkbp:launched |
2018
|
| gptkbp:offers |
data labeling
model deployment pipelines automated machine learning model management model training notebook support |
| gptkbp:partOf |
gptkb:Microsoft_Azure
|
| gptkbp:provides |
gptkb:REST_API
gptkb:website SDK |
| gptkbp:supports |
gptkb:MLOps
gptkb:machine_learning gptkb:TensorFlow gptkb:reinforcement_learning gptkb:Docker gptkb:Kubernetes gptkb:PyTorch gptkb:scikit-learn gptkb:ONNX deep learning hyperparameter tuning model interpretability distributed training edge deployment responsible AI cloud compute on-premises compute |
| gptkbp:supportsLanguage |
gptkb:Python
R |
| gptkbp:usedBy |
data scientists
AI researchers machine learning engineers |
| gptkbp:usedFor |
data science
model monitoring AI model deployment AI model development collaborative machine learning |
| gptkbp:website |
https://azure.microsoft.com/en-us/services/machine-learning/
|
| gptkbp:bfsParent |
gptkb:Artificial_Intelligence_as_a_Service
|
| gptkbp:bfsLayer |
7
|