A Support Vector Machine (SVM) is a supervised machine learning algorithm used for classification and regression tasks that aims to find the best hyperplane that separates data points of different classes. It is particularly effective in high-dimensional spaces and is widely utilized in applications such as text classification, image recognition, and bioinformatics. By focusing on the support vectors, or the data points closest to the decision boundary, SVMs create a robust model that can generalize well to unseen data.
congrats on reading the definition of Support Vector Machine (SVM). now let's actually learn it.