Add to Favourites
To login click here
Self-supervised learning (SSL) is a transformative subset of machine learning that leverages the inherent structure and patterns within data to create pseudo labels, reducing the need for manual tagging. It is a cost- and time-effective solution in various industries, such as healthcare, finance, and robotics. SSL is crucial in bridging the gap between supervised and unsupervised learning.