In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...

Haewon Jeong, an assistant professor in UC Santa Barbara’s Electrical and Computer Engineering (ECE) Department, experienced a pivotal moment in her academic career when she was a postdoctoral fellow ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans, all contexts where ...

Learn best practices for structuring machine learning projects to ensure smooth deployment and maintainable code. This guide ...

‘You can build the processing, but you need to have human oversight, human error checking. There’s a lot of training that needs to be done. I think we’re slowly ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

In order to effectively realize Combined Joint All-Domain Command and Control — a.k.a. CJADC2, the U.S. Department of Defense’s sweeping data-sharing initiative — information coded in different ways ...