What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

AI data management and annotation startup Dataloop today announced it has raised $16 million in funding through an $11 million series A round and a previously undisclosed $5 million seed round. A ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

Annotation involves labelling data sets to make them more valuable to human readers or machines. As a result, annotation is quickly becoming an important sub-discipline within machine learning, where ...

Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become perhaps ...

Data labeling software is crucial in developing artificial intelligence (AI) systems. It is designed to label and annotate data in a consistent and standardized manner, just like in a commonly known ...

What do you get when you combine the No. 1 code editor with the No. 1 programming language for data science? You get more than 60 million installs of the Python ...