In our previous blog post, A Proactive Look at Active Learning Packages, we gave an overview of the most basic methods of active learning together with the most common Python packages as well as the more advanced methods they implement. For this second post, we’ll have a look at more…

If data acquisition is the very first step of any machine learning project, unfortunately, data doesn’t always come with the label of interest for the task at hand. It is often a very cumbersome task to (correctly!) label the data — and that’s where Active Learning comes in. Instead of…