One-Shot learning is an AI approach that enables models to learn from only one or a few examples. This approach is advantageous in tasks where getting large amounts of labelled data is challenging or expensive. One-Shot learning has applications in facial recognition, biometrics, and natural language processing.
Support Vector Machines (SVMs) are Machine Learning algorithms used for classification and regression tasks. SVMs create decision boundaries and maximise the margin between different…
