Big-data company Databricks Inc. is hoping to empower so-called citizen data scientists to create their own machine learning models with new “Automated Machine Learning” capabilities in its Unified ...

Tyler Lacoma has spent more than 10 years testing tech and studying the latest web tool to help keep readers current. He's here for you when you need a how-to guide, explainer, review, or list of the ...

Automated machine learning (autoML) is the process of applying tools to data to apply the machine learning process to a real-world problem. Applying machine learning to a new dataset is a complicated ...

Google Cloud pulled back the curtain yesterday on two artificial intelligence tools designed to help healthcare and life science organizations scan and analyze large volumes of unstructured text, the ...

Two of the greatest obstacles to getting started with today’s deep learning systems have been the lack of truly “point and click” interfaces to creating new models and the immense complexities in ...

Although machine learning (ML) and other artificial intelligence tools are useful to analyze the massive amounts of data being generated by sequencing technologies, most ML tools are difficult for non ...

In many ways, the biggest challenge in widening the adoption of AI isn't making it better -- it's making the tech accessible to more companies. You typically need at least some programming to train a ...