
Support vector machines are one of the finest and most efficient Machine Learning classification algorithms out there. However, support vector machines are more popular when the dataset to work with is smaller in size. This is understandable as we know that when the size will increase the SVM will take longer to train.
One of the things about support vector machines is that they are more flexible for new data. This makes them easier to use in the applications where we need more flexibility...
Published on May 07, 2020 06:22