Machine Learning, Svm, Data Science, Classification, Artificial Intelligence.
of SVM. With an appropriate kernel function, we can solve any complex problem. It scales relatively well to high dimensional data. SVM models have generalization in practice, the risk of over-fitting is less in SVM. Limitations of SVM : It is sensitive to noise. The extension of classification to