All programming languages have their proponents, but not all are equally equipped with libraries for data science and machine learning. (Image: Igor Stevanovic, Getty Images/iStockphoto) ...

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room ...

Columbia University. This innovative online program will equip students with advanced data analytics skills while addressing ...

DataForge, a leading data integration provider, has open-sourced a new framework for developing and managing data transformation code.

Data-acquisition drivers have grown from a simple code library for accessing registers into powerful, high-level programming interfaces. These drivers are further abstracting the hardware-specific ...

Datavzrd makes complex datasets interactive and easy to use. It works across scientific fields without programming knowledge. Tabular data is central to scientific research, whether in medicine, the ...

Statistics, Master of Science Our Master of Science in Statistics program is designed to give students a solid foundation in applied and theoretical statistics, enabling them to prepare for careers as ...

Anaise Higgins, a UD Class of 2023 graduate of the online master's program in applied statistics, successfully transitioned into a data science career after completing her degree. The program's ...

What are some examples of how quantitative and qualitative data points have been used successfully to support instructional decision-making to promote equity and help all students succeed?

In the task-parallel model represented by OpenMP, the user specifies the distribution of iterations among processors and then the data travels to the - Read more from Inside HPC & AI News.