Statements (32)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:technology
machine learning tool |
| gptkbp:appliesTo |
gptkb:machine_learning
|
| gptkbp:benefit |
improved accessibility
increased productivity faster model development |
| gptkbp:challenge |
computational cost
lack of transparency limited customization |
| gptkbp:enables |
automated feature engineering
automated hyperparameter tuning automated model selection automated data preprocessing automated model evaluation |
| gptkbp:firstMentioned |
2015s
|
| gptkbp:goal |
reduce human intervention in ML
|
| https://www.w3.org/2000/01/rdf-schema#label |
AutoML technology
|
| gptkbp:relatedTo |
gptkb:artificial_intelligence
data science deep learning |
| gptkbp:supportsLanguage |
gptkb:H2O_AutoML
gptkb:Amazon_SageMaker_Autopilot gptkb:Auto-sklearn gptkb:Microsoft_Azure_AutoML gptkb:TPOT gptkb:Google_AutoML |
| gptkbp:usedBy |
business analysts
data scientists software engineers non-experts |
| gptkbp:bfsParent |
gptkb:AutoML_Natural_Language
|
| gptkbp:bfsLayer |
6
|