Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
machines. And they open up the possibility to tackle more complex problems. But augmenting the feature space could mean extra computational needs. Because, with a big enough feature space, it can be expensive to fit a model, both in terms of both time and resources. Despite the the augmented