In an era where model full-lifecycle documentation is no longer optional, the demand for documentation has skyrocketed while the willingness to undertake the task has waned. Data scientists face the ...

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

In this special guest feature, Gideon Mendels, CEO and co-founder of Comet ML, dives into why so many ML projects are failing and what ML practitioners and leaders can do to course correct, protect ...

Jozu was one of the leading developers of the ModelPack specification, now hosted under the Cloud Native Computing Foundation (CNCF) and backed by PayPal, ByteDance, ANT Group, and Red Hat. Jozu's ...

This as-told-to essay is based on a conversation with Suvendu Mohanty, a 37-year-old machine learning engineer at Amazon. It's been edited for length and clarity. I got my Master's in Computer Science ...

The collection and analysis of data from sensor-equipped devices in order to achieve a business or organisational goal -- a.k.a. the Internet of Things, or IoT -- is a key component in the wave of ...

End-to-end machine learning platform Predibase today announced a $12.2 million expansion (led by Felicis) to its $16.25 million Series A funding round from last year. The company also announced that ...

Companies of all sizes are implementing AI, ML, and cognitive technology projects for a wide range of reasons in a disparate array of industries and customer sectors. Some AI efforts are focused on ...

Amazon on Thursday unveiled CodeWhisperer, a new tool for developers that denerates code recommendations. The machine learning-powered tool is currently available in preview. CodeWhiperer provides ...

You might think that news of “major AI breakthroughs” would do nothing but help machine learning’s (ML) adoption. If only. Even before the latest splashes — most notably OpenAI’s ChatGPT and other ...