Data Dependency: Computer vision systems require massive amounts of labeled data to train their algorithms effectively. Without a large, diverse, and high-quality dataset, the performance of ...

Data Science is inherently interdisciplinary: a fusion of statistics and computing science, with an underpinning of mathematical principles. Aims of Data Science notably include optimizing operations ...

Computer science with mathematics and statistics gives students the flexibility to combine a traditional computer science degree with a non-traditional field. Our state-of-the-art labs for ...

Data science applications in mathematics and statistics, computer science, artificial intelligence, ethics and communication. Both theoretical understanding and hands-on experience. Program highlights ...

Computer vision has significantly evolved over the past decade, but the challenge of having ample amounts of labeled data still persists. Data augmentation presents a valuable solution to this ...

For example, a car manufacturer might need to teach its computer vision system to recognize defects in the material of their car seats. However, even if the company could access hundreds of ...

About Data Science. Technological advancement has brought with it an exponential proliferation of data. With every click of a mouse, entry of text, scan of a card, etc., more and more information is ...