Amazon Sage Maker Studio Lab
GPTKB entity
Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:AWS
|
| gptkbp:allows |
experiment tracking
collaboration on machine learning projects |
| gptkbp:developed_by |
gptkb:server
|
| gptkbp:enables |
data exploration and visualization
scalable machine learning solutions |
| gptkbp:facilitates |
model deployment
|
| gptkbp:features |
pre-installed machine learning libraries
|
| https://www.w3.org/2000/01/rdf-schema#label |
Amazon Sage Maker Studio Lab
|
| gptkbp:includes |
built-in debugging tools
|
| gptkbp:integrates_with |
gptkb:temple
|
| gptkbp:is_accessible_by |
gptkb:website
beginners in machine learning |
| gptkbp:is_available_for |
individual users
|
| gptkbp:is_available_in |
developers and researchers
multiple regions globally |
| gptkbp:is_compatible_with |
Docker containers
popular ML frameworks |
| gptkbp:is_designed_for |
students and researchers
|
| gptkbp:is_designed_to |
simplify machine learning workflows
|
| gptkbp:is_integrated_with |
gptkb:archive
AWS services |
| gptkbp:is_optimized_for |
interactive data analysis
|
| gptkbp:is_part_of |
gptkb:AWS_Free_Tier
AWS machine learning services Amazon Sage Maker ecosystem |
| gptkbp:is_used_by |
data scientists
|
| gptkbp:is_used_for |
gptkb:academic_research
research and development building and training machine learning models |
| gptkbp:is_utilized_in |
gptkb:Educational_Institution
|
| gptkbp:offers |
community support
data visualization tools data preprocessing tools free access to compute resources cloud storage for projects tutorials and sample projects |
| gptkbp:provides |
gptkb:Jupyter_notebooks
API access user-friendly interface access to datasets interactive tutorials customizable environments version control for notebooks integrated development environment (IDE) for ML |
| gptkbp:suitable_for |
prototyping machine learning applications
|
| gptkbp:supports |
gptkb:language
multiple data formats model evaluation team collaboration features real-time inference data science workflows GPU instances automated machine learning (Auto ML) model training on large datasets |
| gptkbp:uses |
for educational purposes
|