12. Feature Extraction
When using linear hypothesis spaces, one needs to encode explicitly any nonlinear dependencies on the input as features. In this lecture we discuss various strategies for creating features. Much of this material is taken, with permission, from Percy Liang's CS221 course at Stanford.
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