Support Vector Machine, Machine Learning, Artificial Intelligence, Data Science, Ambarish 224.
to allow for some data points to be misclassified. This is useful when the data is not perfectly separable and a hard margin cannot be found. In summary, SVMs are powerful algorithms that have a wide range of applications and are notable for their ability to handle high dimensional space, model