April 2018
Beginner to intermediate
282 pages
6h 52m
English
Another consideration is decision boundaries. Some algorithms, such as logistic regression or Support Vector Machine (SVM), can learn linear decision boundaries while others, such as tree-based algorithms, can learn non-linear decision boundaries. While linear decision boundaries are relatively easy to calculate and interpret, you should be aware of errors that linear algorithms will generate in the presence of non-linear relationships.