Optimising deep learning has become a hugely important task in computer science. The networks themselves have countless applications, including image and handwriting recognition, data clustering and prediction, and even medical diagnosis assistance. Training requires feeding a …
In the rapidly evolving world of data science and database management, the need for transparency and comprehensibility has become paramount. With the advent of Explainable Query Answering (XQA), several tools and concept evolved, allowing us to not …
Graph analytics are algorithms used to extract information from large bodies of data organised in a graph structure. But what is a graph?
Imagine Facebook: people create their own profiles and can then add other people as …
Over the years, as the amount of data within organizations has exponentially increased, the need for designing and developing more accurate workflows for data analytics has become paramount. A major concern in this domain is the pervasive …