Semi-Supervised Learning Techniques

Understand semi-supervised learning by exploring how it leverages both labeled and unlabeled data. Learn key assumptions like continuity, cluster, and manifold. Discover applications in text classification, speech analysis, and bioinformatics, along with the pseudo-labeling technique used for enhancing training datasets.