Projects, Models, Versions, and Jobs
Introduces some core terminology.
Machine Learning Workflow
Describes the phases of coding a machine learning solution, and how AI Platform fits in to each.
Provides an overview of the steps to getting your data ready to work with.
Development Environment Considerations
Describes the tools and technologies you'll need to develop machine learning solutions.
Describes model training, and the many things to consider for best results.
Hyperparameter Tuning Overview
Describes hyperparameter tuning, and how it can help you get more accurate models.
Describes the types of cloud prediction offered by AI Platform, and what's required to use them.
Describes the Cloud Identity and Access Management (IAM) roles required to use the AI Platform APIs.
Viewing Audit Logs (Beta)
Provides supplementary information for using Cloud Audit Logs with AI Platform.
Shows the regions available for each AI Platform service.