The language often used to describe the activity of building datasets for supervised or semi-supervised machine learning can be somewhat reductionist in that data is simply “labelled” (i.e., a feature input is matched to a label output). Instead, we argue that to label data for the purposes of machine learning…

For the past two years, I was part of the team responsible for building, expanding and improving datasets for supervised or semi-supervised learning at Element AI. Supervised and semi-supervised learning require labelled data examples to train models, since these techniques first rely on learning from labelled data, then making predictions…