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 ...

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model versioning, data pipelines, and CI/CD integration — this guide will help ...

Meta AI has released LeanUniverse, an open source machine learning (ML) library designed to address the growing challenges of managing datasets in large-scale machine learning projects. Built on the ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...

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 ...

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 ...