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 ...

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 ...

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 ...

PORTLAND, Ore., April 10, 2020 /PRNewswire/ -- SensiML Corporation, a leading developer of AI tools for building intelligent IoT endpoints, has released a whitepaper entitled "Building Smart IoT ...

Automation is pervasive with the advancement of science and technology in every field. Enterprises are now using machines instead of people for decision-making, thanks to the models created by data ...

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 ...

AutoML is poised to turn developers into data scientists — and vice versa. Here’s how AutoML will radically change data science for the better. In the coming decade, the data scientist role as we know ...

Computer scientists working for a high-tech division of Google are testing how machine learning algorithms can be created from scratch, then evolve naturally, based on simple math. Experts behind ...