Beginners should undertake data science projects as they provide practical experience and help in the application of theoretical concepts learned in courses, building a portfolio and enhancing skills.

I've identified collaboration as one of the critical gaps that organizations must bridge to transform their data science ...

Annotation involves labelling data sets to make ... their Ph.D.” Click on the image above to read and download the full annotation handbook. Often, computer science Ph.D.’s don’t have ...

The Galaxy Zoo project has led to a complete indexing of galaxy types in an image catalog ... through the data generated at the Zooniverse site, which hosts multiple citizen science projects.

Project portfolio management (PPM) assists managers in determining which projects are meeting objectives throughout an organization. This information allows them to make data-backed judgments ...

(MMCC Zone F Photo) Two and a half years after the death of Microsoft co-founder Paul Allen, his legacy in science ... an entire portfolio of AI-centric environmental projects will be shifted ...

The Johns Hopkins Data Science and AI Institute announces the launch of the Demonstration Projects funding program, aimed at accelerating the development and deployment of data science (DS) and ...

program that funded 11 completed data science and analytics projects aimed at helping national and local government units improve their services. The program is an initiative of the Department of ...