C1_W2_Lab04_FeatEng_PolyReg_Soln: gradient treats polynomial features are independent variables

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification
1

In C1_W2_Lab04_FeatEng_PolyReg_Soln It looks like it’s merely adding the polynomial features as independent variables in the gradient calculation. Shouldn’t the gradient take into account that those are not independent variables?

2

They’re new features created as non-linear combinations of the original features. We don’t really care whether they’re independent - that’s not a requirement.

3

Thanks for your answer. My mistake was thinking that the cost function was being minimized on the features, not on w and b.