Automated Machine Learning
Automated Machine Learning (AutoML) is the process of automating Modeling Processes.
Modeling Process Automation
The specifics of AutoML process automation depend on the platform being used, such as:
Within typical Modeling Processes, and depending on the platform, at least some of the processes below are fully or partially automated:
Data Collection
Model Algorithm Selection
Model Hyperparameters Setting
Model Training
Model Testing
Model Evaluation
Model Deployment
Purpose of Process Automation
Purposes include:
Improving the accessibility of Machine Learning
Reducing the Learning Curve for Machine Learning
Providing Quick Start Capabilities
Methods of Process Automation
Methods include:
Sample Data Access
Providing Sample Data for Initial Processing and Learning
Simplification of Processes
Automating Parts of Processes
Providing Simplified Explanations of Technologies
Automatic Option Selection
Suggesting the Best Option
Automatic Selection with Options for Change
Automatic Processing
Process Initiation
Process Tracking
Process Completion Notification