juniorAzure ML
What is Automated Machine Learning (AutoML)?
Updated May 15, 2026
Short answer
AutoML automates model selection, preprocessing, feature engineering, and hyperparameter tuning.
Deep explanation
Azure AutoML simplifies machine learning by evaluating multiple algorithms and configurations automatically. It is useful for rapidly building baseline models and accelerating experimentation.
Azure AutoML supports:
- Classification
- Regression
- Forecasting
- NLP
- Computer Vision
It automatically performs preprocessing tasks such as handling missing values, normalization, feature engineering, and algorithm selection.
Real-world example
A telecom company uses AutoML to predict customer churn without manually testing dozens of ML algorithms.
Common mistakes
- Blindly trusting AutoML outputs, ignoring explainability, and using poor-quality data.
Follow-up questions
- Can AutoML generate ensembles?
- Does AutoML support forecasting?
- Why is AutoML useful?