Azure Automated Machine Learning
Automated Machine Learning, also referred to as AutoML, is the automation of the iterative and time-consuming process of machine learning model development. AutoML enables data scientists and machine learning engineers to develop high-performing models in an efficient way allowing them to scale and build the best model quickly. Data scientists can rely on AutoML to perform tedious model development tasks such as feature engineering, algorithm selection, hyperparameter tuning, and model evaluation.
In this chapter, we will cover the following topics:
- Introduction to Azure AutoML
- Featurization concepts in AML
- AutoML using AMLS
- AutoML using AML Python SDK
- Parsing your AutoML results via AML and the AML SDK
