Support Vector Machine, Semi Supervised Learning, Machine Learning, Data Science, Artificial Intelligence.
a high-dimensional space. SVMs aim to maximize the margin between classes while minimizing classification errors. Semi-Supervised Learning In semi-supervised learning, the traditional supervised learning paradigm is extended to include both labeled and unlabeled data during training. Unlabeled data