Uninterpreted data can be an overwhelming mess! Fortunately, visual tools can capably transform complex datasets into digestible insights that empower students, professionals, and educators to make ...
An example of visual data augmentation techniques used in machine learning, which captures the main principle of variability effects: exposure to variation along non-discriminative dimensions (i.e., ...