Statements (78)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:machine_learning
|
| gptkbp:allows |
Data preparation
|
| gptkbp:allows_users_to |
Create visualizations
|
| gptkbp:analyzes |
Customer data
|
| gptkbp:can_be_used_for |
Social media analysis
Time series forecasting |
| gptkbp:can_be_used_to |
Enhance user experience
Optimize marketing strategies Analyze sales data |
| gptkbp:deployment |
Machine learning models
|
| gptkbp:developed_by |
gptkb:Amazon_Web_Services
|
| gptkbp:enables |
Model building
|
| gptkbp:exported_to |
ML models
|
| gptkbp:facilitates |
Data-driven decision making
Collaboration among teams Product recommendations Data storytelling |
| gptkbp:features |
Drag-and-drop interface
|
| https://www.w3.org/2000/01/rdf-schema#label |
Sage Maker Canvas
|
| gptkbp:integrates_with |
gptkb:AWS_Glue
gptkb:Sage |
| gptkbp:is_accessible_by |
gptkb:AWS_Management_Console
Web interface Business users |
| gptkbp:is_available_for |
Small businesses
Enterprise users |
| gptkbp:is_available_in |
Multiple regions
|
| gptkbp:is_beneficial_for |
Healthcare analytics
|
| gptkbp:is_compatible_with |
gptkb:Jupyter_notebooks
Various data sources Data lakes |
| gptkbp:is_designed_for |
Non-technical users
|
| gptkbp:is_effective_against |
Inventory management
Predictive maintenance Fraud detection Customer segmentation Employee performance analysis |
| gptkbp:is_enhanced_by |
Machine learning best practices
|
| gptkbp:is_integrated_with |
gptkb:Amazon_Quick_Sight
gptkb:Amazon_Redshift gptkb:AWS_Lambda |
| gptkbp:is_optimized_for |
gptkb:cloud_computing
|
| gptkbp:is_part_of |
gptkb:AWS_Machine_Learning_services
AWS ecosystem AWS AI services AWS cloud services AWS analytics services AWS data services |
| gptkbp:is_scalable |
Large datasets
|
| gptkbp:is_supported_by |
AWS documentation
|
| gptkbp:is_used_by |
Data scientists
|
| gptkbp:is_used_for |
Market research
Predictive analytics |
| gptkbp:is_used_in |
Telecommunications industry
|
| gptkbp:is_utilized_for |
Risk assessment
Customer feedback analysis Supply chain optimization Churn prediction Energy consumption forecasting |
| gptkbp:is_utilized_in |
gptkb:financial_services
Education sector Retail analytics Manufacturing analytics |
| gptkbp:offers |
Customizable workflows
Automated machine learning |
| gptkbp:provides |
User-friendly interface
Model evaluation tools No-code machine learning |
| gptkbp:provides_access_to |
Pre-built algorithms
|
| gptkbp:release_date |
gptkb:2020
|
| gptkbp:support |
Real-time predictions
Multiple data formats Data science projects A/ B testing |
| gptkbp:supports |
Data visualization
|
| gptkbp:targets |
Business analysts
|
| gptkbp:bfsParent |
gptkb:AWS_Sage_Maker
|
| gptkbp:bfsLayer |
5
|