Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Before analyzing customer data, we need to describe the customers. Descriptive features for customers usually revolve around three categories: revenues, demographics and behavior. While revenues and ...

At Carleton University, researchers are addressing a growing demand for advanced systems that enable learners to practice ...

The main objective of this course is to introduce students to the principles and practices of modern data visualization and data warehousing. The first half of the course focuses on visualization best ...

The Master of Science in Data Analytics and Visualization (DAV) program addresses the growing need for analysts, researchers, developers, designers, mapmakers, usability experts, and other data ...

Your most powerful performance tool isn't your laptop, team, or strategy. It’s your imagination. Most business professionals dismiss visualization as wishful thinking. But research shows this powerful ...

Data analysis isn’t just about assembling, ordering and interpreting data; it’s also about educating, simplifying, clarifying, and persuading. In the hands of skilled analysts, data can make a ...

The Diane Y. Williams ’59 Visualization Wall was installed in the Technology Commons on the Lower Level of Shain Library to be used as a vehicle for course content, presentations, and projects across ...