Dataiku Technical Ebook
While they are unique and each come with their own set of benefits and challenges, the data labeling techniques of semi-supervised learning (SSL) and active learning can be used to perform predictions and improve model accuracy. This technical ebook breaks down both approaches.
Present an overview of three popular active learning packages and how they compare
Explore if using the confidence of a semi-supervised model to select samples to be pseudo-labeled outperforms a fixed size selection or not
Discover findings from a reproduction exercise based on results from the 2019 paper "Diverse Mini-Batch Active Learning"