Seminar Details
2022-04-26 (14h) : Automating data exploration
At Euler building (room a.002)
Organized by Mathematical Engineering
Speaker :
Tijl De Bie (UGent)
Abstract :
Machine learning is increasingly becoming a commodity, available as a building block to programmers with minimal required understanding about detailed modelling aspects. In large part, this is thanks to advances in automating the labor-intensive aspects of machine learning. In contrast, the more exploratory tasks in data science still remain highly labor-intensive, often requiring a deeper understanding of the intricacies of the methods used. In this talk, I will survey some past results on the automation of data exploration tasks, and outline what I view as some of the more important challenges for the future.