Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow

by Sebastian Raschka

The basic idea behind kernel methods to deal with such linearly inseparable data is to create nonlinear combinations of the original features to project them onto a higher-dimensional space via a mapping function where it becomes linearly separable.