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 ...

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 ...

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 ...

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 ...

Posts from this author will be added to your daily email digest and your homepage feed. is a Senior Producer on Decoder. Previously, he reported on the technology and gaming industries for more than a ...

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 ...

Microsoft ML.NET is a code library for .NET Core (the multi-platform version of the .NET Framework). The ML.NET library allows you to use C# to create, train, and use three types of machine learning ...

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 ...

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...