Support Vector Machine, Machine Learning, Data Science, Deep Learning.
to small variations in the input data. Brief overview of the benefits and drawbacks of using SVMs Benefits of using SVMs include: Effective in high dimensional spaces: SVMs are particularly effective when the number of dimensions (features) is greater than the number of samples. Memory efficient: