Amazon Sage Maker Autopilot

GPTKB entity

Statements (51)
Predicate Object
gptkbp:instance_of gptkb:AI_technology
gptkbp:allows automatic feature engineering
gptkbp:can_be_used_for real-time predictions
gptkbp:can_be_used_to business analysts
data scientists
gptkbp:can_create multiple model candidates
explainable AI reports
gptkbp:can_handle tabular data
gptkbp:deployment machine learning models
gptkbp:developed_by gptkb:Amazon_Web_Services
https://www.w3.org/2000/01/rdf-schema#label Amazon Sage Maker Autopilot
gptkbp:integrates_with gptkb:Amazon_Redshift
gptkb:Amazon_S3
gptkb:AWS_Lambda
gptkb:Sage
gptkbp:is_accessible_by gptkb:AWS_Management_Console
command line interface
gptkbp:is_available_in multiple AWS regions
gptkbp:is_compatible_with gptkb:Python
gptkb:R
gptkbp:is_effective_against yes
gptkbp:is_enhanced_by machine learning algorithms
gptkbp:is_optimized_for AWS infrastructure
gptkbp:is_part_of AWS ecosystem
AWS AI services
Amazon Sage Maker suite
gptkbp:is_scalable gptkb:cloud_services
gptkbp:is_supported_by AWS documentation
gptkbp:is_updated_by yes
gptkbp:is_used_for predictive analytics
gptkbp:is_used_in various industries
gptkbp:is_user_friendly yes
gptkbp:offers API access
data visualization tools
Jupyter notebook integration
gptkbp:provides hyperparameter optimization
automated machine learning capabilities
model performance metrics
model explainability
data labeling capabilities
model selection capabilities
gptkbp:suitable_for small to large datasets
gptkbp:supports data preprocessing
classification tasks
model evaluation
ensemble methods
time series forecasting
model training
regression tasks
gptkbp:bfsParent gptkb:AWS
gptkbp:bfsLayer 4