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 ...

Google said today it’s bringing its Cloud AutoML service for training machine learning algorithms to Kaggle, its online community for data scientists. Cloud AutoML is a cloud-based toolkit that ...

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.

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.

AutoML can't define and automatically solve statements. But, it can solve pre-defined statements with relevant data and features.

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

Automated Machine Learning (AutoML) is hot in AI, but not necessarily so for self-driving cars.

When trying to solve challenges for AI in financial services, how relevant is AutoML? dotData recently polled a live audience to find out, and the results were quite eye-opening.

At Google's 2018 Cloud Next conference in San Francisco, the company announced new additions to its Cloud AutoML toolkit: AutoML Vision, AutoML Natural Language, and Contact Center AI.