Learn how to find and make the best use of valuable insights buried in your company’s databases.

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

In this April 2017 guide, The Royal Society provides a current-day assessment of the discipline of machine learning. 6 chapters, 128 pages. Machine learning is a branch of artificial intelligence that ...

The applications of AI in the financial sector are multi-faceted. In this article, we explore some key use cases of AI for hedge funds. We also look at potential challenges in implementing AI-based ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...

I am not a data scientist. And while I know my way around a Jupyter notebook and have written a good amount of Python code, I do not profess to be anything close to a machine learning expert. So when ...

Nearly seven years after its debut as a preview, the Visual Studio Code extension for Azure Machine Learning has hit general availability. "You can use your favorite VS Code setup, either desktop or ...

Machine learning is based on the idea that a system can learn to perform a task without being explicitly programmed. Machine learning has a wide range of applications in the finance, healthcare, ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...