Google Cloud AI Platform Notebooks

GPTKB entity

Statements (71)
Predicate Object
gptkbp:instance_of gptkb:cloud_services
gptkbp:allows Integration with Git Hub
Collaboration on notebooks
gptkbp:developed_by gptkb:Google
gptkbp:enables Machine Learning Development
https://www.w3.org/2000/01/rdf-schema#label Google Cloud AI Platform Notebooks
gptkbp:integrates_with gptkb:Tensor_Flow
gptkb:Big_Query
gptkb:cloud_storage
gptkbp:is_accessible_by Web interface
gptkbp:is_available_for Startups
Enterprise users
Individual users
gptkbp:is_available_in Multiple regions
Various languages
gptkbp:is_compatible_with gptkb:Kubernetes
Third-party libraries
gptkbp:is_integrated_with gptkb:Google_Drive
gptkb:Google_AI_Platform
gptkb:Google_Cloud_Platform
Google Cloud AI tools
gptkbp:is_optimized_for AI workloads
Data analysis tasks
gptkbp:is_part_of gptkb:Google_Cloud_Platform
Cloud AI services
AI and ML ecosystem
gptkbp:is_scalable Large datasets
gptkbp:is_used_by Data Scientists
Machine Learning Engineers
gptkbp:is_used_for Prototyping
Research purposes
Educational purposes
gptkbp:offers Data analysis tools
Cost management tools
Pre-configured environments
Custom machine types
Auto-scaling capabilities
Flexible pricing options
Scheduled jobs
Pre-installed libraries
Customizable VM instances
gptkbp:provides User authentication
User-friendly interface
API access
Managed Jupyter Notebooks
Monitoring tools
Documentation and tutorials
Data import/export capabilities
Version control for notebooks
Secure access to resources
Interactive data visualization tools
Notebook sharing features
Access to GPUs
Access to TPUs
gptkbp:supports gptkb:Python
gptkb:R
gptkb:Apache_Spark
gptkb:Deep_Learning
gptkb:Data_Science
Data visualization
Real-time collaboration
Data preprocessing
Multiple programming languages
Collaborative projects
Model evaluation
Containerized applications
Model training
Experiment tracking
Cloud-based workflows
gptkbp:bfsParent gptkb:Google
gptkbp:bfsLayer 4