What is AutoML?


Accessibility and Ease of Use

AutoML lowers the barriers to entry in machine learning, allowing anyone—regardless of expertise level—to build, test, and deploy ML models quickly. By automating complex tasks, it empowers non-experts to work with data and leverage AI insights effectively.

Efficiency and Speed

AutoML accelerates the model development process. It automates time-intensive steps like data preprocessing, model selection, and hyperparameter tuning, saving valuable time for data scientists and making rapid iteration possible for research and businesses.

High-Quality, Scalable Models

With advanced optimization and automated evaluations, AutoML produces models that are not only accurate but also scalable for research and production use. This makes it a valuable tool for deploying robust, real-world solutions across fields.

Offered by the AutoML community

The AutoML community is constantly growing for more than decade and provides all kinds of activities, from a MOOC to get started, over seminars and podcast to stay up-to-date, to a renowned conference series.

Enjoy the latest Community Events to learn of and discuss the latest research.

The numerous open-source packages on AutoML, covering different data modalites and  application constraints.

You missed recent AutoML events? No problem, here are the most important AutoML channels on YouTube.

The AutoML seminar is a platform to learn and discuss recent work. It combines 40min presentations and 20min Q&A.

The MOOC on AutoML provides a thorough starting point for understanding the main principles of AutoML

AutoML Podcast

Tune in for insights about the science and engineering behind AutoML.

Latest Blog Posts

These are the most recent contributions of the community: the latest research, newest packages and freshest insights all about AutoML.

by Roman Garnett (General chair), Carola Doerr (PC Chair), Jan van Rijn […]
In the practical application of machine learning to any problem, we will […]
Authors: Carolin Benjamins, Helena Graf, Sarah Segel, Difan Deng, Tim Ruhkopf, Leona […]