Automated Machine Learning (AutoML) is a set of techniques and tools that automate many redundant tasks in building machine learning models. This can include data preprocessing, feature engineering, ...

This is a collection of slides we used on AutoML tutorials/workshops. - [AAAI 2022 Tutorial: Automated Learning from Graph-Structured Data](https://quanmingyao.github ...

Although AutoML rose to popularity a few years ago, the ealy work on AutoML dates back to the early 90’s when scientists published the first papers on hyperparameter optimization. It was in 2014 when ...

There's an irony around Artificial Intelligence (AI) work: it involves a lot of manual, trial and error effort to build predictive models with the highest accuracy ...

Suppose you could develop an AI application without having to lift a finger. To some degree that is the goal of Automated Machine Learning, known as AutoML, which consists of an automated means to ...

In May 2017, researchers at Google Brain announced the creation of AutoML, an artificial intelligence (AI) that’s capable of generating its own AIs. More recently, they decided to present AutoML with ...

Data science and machine learning developers are among the hottest jobs in the world right now. In 2012 I and my co-author DJ Patil (who went on to become the first Chief Data Scientist of the United ...