Week2: polynomial regression

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification
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first question:
dr ng explain the polynomial regression but the gradient descent will change which i mean that the derivative will change ok then when will this course explain that or should i learn it from another course or this course will cover that but later on, and the second question?

second question: what about the normalization ok i learn alot of feature scalling like mean, z-score, mini, max which one should i apply and when i normalize the training set the parameters will be normalize that means i should denormalize the parameters right to predict the output is that correct and please if that correct what is the roles to denormalize the parameters and thanks

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The course does not explain the math of computing the partial derivatives of the cost.

Rather than de-normalize, you can instead apply the same normalization to the features of the new predictions.

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