Self-supervised learning is a machine learning paradigm that allows AI models to learn from the inherent structure and patterns in unlabelled data. By utilising the vast amount of unannotated ...

Supervised learning in ML trains algorithms with labelled data, where each data point has predefined outputs, guiding the learning process. Supervised learning is a powerful technique in the field of ...