Data science is one of the few fields resilient to the current federal budget pauses and reductions, says data scientist ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

In fact, software engineering has grown so fast in the last several decades that it has become tightly connected with all other areas of computer science (e.g., artificial ... Researchers in data and ...

The software is used to integrate, automate and monitor incoming and outgoing data for data use cases including data science and business analytics. Nexla’s product portfolio includes Nexsets ...

Discover how CRE firms are adopting data science, the challenges they face, and the opportunities for differentiation in a ...

In this role, Jeff’s IT background allows him to bridge the gap between complex data science problems and proven software development. Jeff joined RGA in 2001 as a member of the Information Technology ...

Identify big data or large, distributed systems. Know when and when not to use big data. Practice software engineering fundamentals. Create an application that uses rest collaboration, event ...

While the computer science program continues with courses in advanced data structures, programming languages and automata theory, the software engineering program includes courses in engineering, ...

We have educational backgrounds in engineering and science, and most of us ... Questions cover everything from software engineering skills (data structures, algorithms, problem-solving ability ...

Compare, measure, and test big data models for production use. Write custom performance tests to measure the characteristics of a distributed system. Use queues to horizontally distribute large ...

Purdue University-connected startup Molecular Intelligence supports research scientists in bioengineering, medical science ...