Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

Data scientists and machine learning scientists have similar roles, but a machine learning scientist specializes in researching and implementing complex algorithms. Like machine learning engineers, ...

Comet, a leading platform for managing, visualizing and optimizing models – from training runs to production monitoring, announced a new suite of tools designed to revolutionize the workflow ...

As data scientist hiring continues to boom, many organizations report sustained difficulty finding, attracting and retaining data science talent. Even as initiatives to upskill quantitative ...

Opinions expressed by Digital Journal contributors are their own. “In a world driven by data, my mission is to create innovative AI solutions that not only solve complex problems but also push the ...

Often students feel confused about career choices and wonder whether they should study Web Development, Data Analytics or Machine Learning. Each field has its own importance, but it is better to ...

As machine learning (ML) use-cases expand to include building risk models and trading algorithms, and to finding connections in a fog of data, capital markets firms are also experiencing growing pains ...