AutoML Configuration and Featurization
AutoML configuration options include primary metric selection, model explanations, blocked algorithms, exit criteria, validation methods, and concurrency settings, plus automatic featurization steps like normalization, outlier removal, categorical encoding, and derived feature generation.
This Module
Azure Machine Learning
Azure ML Compute and Data Management
Azure ML Workflow and Integration
Machine Learning Operationalization
Azure ML Workspaces and Access Control
Azure Machine Learning Studio
Demo: Exploring Azure ML Studio
Azure ML SDK, CLI, and Compute Instances
Demo: Visual Studio Code Integration
What is Automated Machine Learning?