AWS Machine Learning ecosystem
GPTKB entity
Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:National_Park
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:temple
|
| gptkbp:enables |
Scalable machine learning solutions
|
| gptkbp:facilitates |
Collaboration between teams
|
| https://www.w3.org/2000/01/rdf-schema#label |
AWS Machine Learning ecosystem
|
| gptkbp:includes |
gptkb:aircraft
gptkb:temple gptkb:Amazon_Rekognition gptkb:Amazon_Forecast gptkb:Amazon_Polly gptkb:Amazon_Lex gptkb:Amazon_Personalize gptkb:Amazon_Comprehend gptkb:seal AWS Deep Learning AM Is |
| gptkbp:integrates_with |
gptkb:Amazon_RDS
gptkb:Amazon_S3 gptkb:AWS_Data_Pipeline gptkb:AWS_Io_T Amazon E C2 |
| gptkbp:is_known_for |
Flexibility
Cost-effectiveness Wide range of services Speed of deployment |
| gptkbp:is_part_of |
gptkb:server
|
| gptkbp:is_used_by |
gptkb:physicist
gptkb:software Businesses Data scientists |
| gptkbp:offers |
gptkb:Community_support
Custom model training Cost management tools Integration with third-party tools ML inference algorithms ML training algorithms Pre-built ML models |
| gptkbp:origin |
Automated machine learning (Auto ML)
|
| gptkbp:provides |
Data labeling services
Documentation and tutorials Security and compliance features Model monitoring tools Model deployment services Access to large datasets Scalable infrastructure for ML |
| gptkbp:supports |
gptkb:viewpoint
gptkb:Company gptkb:software gptkb:studio Real-time predictions Multi-cloud strategies Batch predictions |