Google Cloud Machine Learning
GPTKB entity
Statements (59)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:cloud_services
|
| gptkbp:developed_by |
gptkb:Google
|
| gptkbp:enables |
Data analysis
Real-time predictions Collaborative development |
| gptkbp:facilitates |
Predictive analytics
|
| gptkbp:features |
Pre-trained models
|
| https://www.w3.org/2000/01/rdf-schema#label |
Google Cloud Machine Learning
|
| gptkbp:includes |
gptkb:dialogue
gptkb:Auto_ML |
| gptkbp:integrates_with |
gptkb:Big_Query
gptkb:Cloud_Functions gptkb:cloud_storage |
| gptkbp:is_compatible_with |
gptkb:Jupyter_Notebooks
|
| gptkbp:is_known_for |
gptkb:Innovation
gptkb:performance Flexibility Scalability |
| gptkbp:is_part_of |
gptkb:Google_Cloud_Platform
Artificial Intelligence ecosystem |
| gptkbp:is_used_by |
Data scientists
|
| gptkbp:is_used_for |
Business intelligence
|
| gptkbp:is_used_in |
gptkb:Retail
gptkb:Education Finance Healthcare Manufacturing |
| gptkbp:offers |
gptkb:Natural_Language_Processing
gptkb:Vision_AI gptkb:AI_technology User-friendly interfaces Feature engineering Data visualization tools Cost management tools Training on GPUs Deployment options |
| gptkbp:provides |
Scalable infrastructure
API access Security features Custom model training Data labeling services Monitoring tools Machine Learning tools Model management tools Data preparation tools |
| gptkbp:supports |
gptkb:Tensor_Flow
Speech recognition Image analysis Hyperparameter tuning Model evaluation Multi-cloud environments Data privacy compliance Batch predictions Open-source frameworks |
| gptkbp:utilizes |
gptkb:Kubernetes
|
| gptkbp:bfsParent |
gptkb:Google_Inc.
gptkb:Google_LLC gptkb:Google |
| gptkbp:bfsLayer |
4
|