Chapter 4 Multivariate Linear Regression-Machine Learning Teacher's Book-Professor Stanford Wu Enda

4.1 Multifunction

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4.2 Multivariable gradient descent

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4.3 Practice 1: Gradient Descent: Feature Scaling

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4.4 Gradient Descent Practice Two: Learning Rate

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4.5 Feature and polynomial regression

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4.6 Normal equation (different from direct method of iterative method)

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4.7 The solution of the normal equation in the case of irreversible matrix

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