Google's Artificial Intelligence, AutoML can build other AI that outperform all of its human-made counterparts. What does that mean for us?

Once a niche technology, Automated Machine learning (AutoML) is now a thing. Helping non-data scientists do simple AI, and helping trained data scientists do complex work ever-faster, AutoML ...

A research team from MIT, Hong Kong University, and Zhejiang University has open-sourced ATMSeer, a tool for visualizing and controlling automated machine-learning processes.

Researchers at Google have open-sourced EvoLved sIgn mOmeNtum (Lion), an optimization algorithm for training neural networks, which was discovered using an automated machine learning (AutoML ...

Automated machine learning promises to speed up the process of developing AI models and make the technology more accessible.

Automated modeling, standalone version But if AutoML is what you're after, you'll want to take a look at the new Alteryx Machine Learning product, a standalone, cloud- (and browser-) based offering.

What is AutoML? Automated machine learning, or AutoML, aims to reduce or eliminate the need for skilled data scientists to build machine learning and deep learning models.

AutoML is a technique where customers bring their data and walk away with a model without worrying about the complex workflow involved in training machine learning models.

With Amazon SageMaker Autopilot, AWS has taken the first step in making AutoML solution transparent and explainable. The platform appeals to both expert data scientists and entry-level ML developers.