Overview
In geodata we analyze data with the aim of determining the underlying information contained data sets using a combination of Big Data and mathematical modelling. The Geodata Platform uses a data analytics learning approach to allow patterns in the data to drive our understanding of the data itself. iCRAG researchers are explore a range of approaches with a focus on Deep Learning – both supervised and unsupervised. Machine learning is driving a revolution in geodata application that can often outstrip the traditional ‘model-driven’ approach.
