Augusto Stoffel, machine learning scientist at dida, delivered a talk on graph neural networks and their application for information extraction in this year's edition of EuroPython.
EuroPython is one of the major Python community conferences, with over 1200 participants. It includes one session dedicated to data science topics.
The talk aimed at a mostly technical audience and introduced the basic ideas around graph machine learning. Enriching this conceptual viewpoint, use cases derived from our experience developing ML projects that require table understanding capabilities were also covered.
Do you have a potential machine learning application and would like to discuss the possibilites with a specialist? Then book an ML talk with us!