Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Cloud_Computing_Service
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Google_Cloud_AI_Platform_Model_Registry
gptkb:Google_Cloud_AI_Platform_Pipelines_Jobs |
| gptkbp:deployment |
pre-trained models
custom models |
| gptkbp:enables |
automated scaling
real-time predictions |
| https://www.w3.org/2000/01/rdf-schema#label |
AI Platform Prediction
|
| gptkbp:integrates_with |
gptkb:Big_Query
gptkb:Cloud_Functions gptkb:Cloud_Computing_Service third-party tools |
| gptkbp:is_accessible_by |
client libraries
RESTAPI gcloud command line tool |
| gptkbp:is_available_in |
multiple regions
|
| gptkbp:is_compatible_with |
gptkb:Jupyter_notebooks
Colab |
| gptkbp:is_documented_in |
Google Cloud documentation
|
| gptkbp:is_optimized_for |
high availability
low latency |
| gptkbp:is_part_of |
gptkb:Google_Cloud_AI
cloud computing solutions AI and machine learning services |
| gptkbp:is_scalable |
large datasets
high traffic applications |
| gptkbp:is_supported_by |
technical support
community forums |
| gptkbp:is_used_by |
gptkb:software
data scientists machine learning engineers |
| gptkbp:is_used_for |
natural language processing
image classification recommendation systems time series forecasting |
| gptkbp:is_used_in |
enterprise applications
research projects startups |
| gptkbp:offers |
predictive analytics
model evaluation tools data preprocessing tools batch prediction online prediction |
| gptkbp:provides |
scalability
security features user-friendly interface model versioning logging and monitoring machine learning model deployment |
| gptkbp:requires |
Google Cloud account
|
| gptkbp:supports |
gptkb:Graphics_Processing_Unit
gptkb:scikit-learn Docker containers multiple programming languages A/ B testing XG Boost custom prediction routines |