AutoML automates the steps of building a machine learning model, such as choosing the model and its settings, so it takes less expert time.
In plain words
Building a good model usually needs an expert to pick a model type, prepare the data and tune many settings. AutoML tools try these choices automatically and keep what works best. That saves specialists time and lets non-experts build useful models.
A quick example
A shop wants to predict which products will sell out. Instead of hand-testing many models, it gives an AutoML tool its sales table. The tool tries different models and settings, picks the best one it found, and can deploy it.
Where you'll meet it
- Cloud services that build a model from your data with little code.
- Automatic tuning of a model's settings.
Related
Sources
- DocsAutoML, Google Machine Learning Glossary · read 29 Sept 2026
- PaperAutoML: A Survey of the State-of-the-Art, He, Zhao and Chu (arXiv) · read 29 Sept 2026
Checked by WhatIsAI against the sources above · 29 Sept 2026. Spotted an error? Report it.