These days, the industry would have you believe that data and analytics is all being done in the service of AI. And, given that, there's a lot of orientation toward data scientists' seemingly favorite ...

Data science notebooks are an important tool used by data science professionals for experimentation and collaboration. These interactive notebooks allow users to write and execute code for exploratory ...

AUSTIN, Texas, July 9, 2024 — Anaconda Inc., a leading platform provider for data science, machine learning, and AI, today announced a new integration with Snowflake Notebooks (public preview), a cell ...

Deepnote, a startup that is building a data science platform on top of Jupyter-compatible notebooks, today announced that it has raised a $20 million Series A round co-led by Index Ventures and Accel, ...

AI provider DataRobot is releasing DataRobot Notebooks, a fully integrated notebooks solution within the DataRobot AI platform that enables data scientists to collaborate across code-first workflows ...

SAN FRANCISCO--(BUSINESS WIRE)--Deepnote, a collaborative data science notebook, announced today that it has raised $20 million in Series A funding. The round was co-led by Index Ventures and Accel, ...

Data teams everywhere can now use Deepnote 1.0 to make data science and analytics work more collaborative. In minutes, data teams can spin up a Deepnote Workspace, run analysis by connecting to their ...

A go-to software platform scientists use to do their work could become less glitchy, thanks to University of Alberta research ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Why are all of these companies using Jupyter? The biggest reason is that it just works.

Machine learning is powering most of the recent advancements in AI, including computer vision, natural language processing, predictive analytics, autonomous systems, and a wide range of applications.