Conference Day One: 16 September 2019
Monday, September 16th, 2019
This session will discuss how to create high quality labelled data for machine learning and how to build bespoke, multi-dimensional datasets from messy or unstructured source material. Issues covered will include the advantages of building such datasets, the merits of a man/machine approach, how to pick a workforce, and a brief review of a couple of case studies.
Conference Day Two: 17 September 2019
Tuesday, September 17th, 2019
9:15 AM Panel: Man vs. machine
The perceived wisdom is that as human and machine brains have quite different strengths and abilities, the combination of both capabilities will offer the most effective solutions. But for how long will this remain the case? Does the vast increase in data to be modeled; advanced algorithms and new deep learning techniques mean that a machine-only advantage will be reached in the near future?