Interview FSE Science Room with Kerstin Bunte: Machine learning with limited data

Software can learn to recognize cancer in a medical scan or filter out spam emails, as long as it gets plenty of examples to train itself with. But what if the data set for a specific task is minute or even impossible to obtain? Kerstin Bunte, Professor of Machine Learning for Interdisciplinary Data Analysis, specializes in working with limited data. She is swimming against the current habit of ‘just ask for more’.

Read the whole interview by René Fransen: Machine learning with limited data