Chapter 4 Multivariate Linear Regression
- 4.1 Multifunction
- 4.2 Multivariable gradient descent
- 4.3 Practice 1: Gradient Descent: Feature Scaling
- 4.4 Gradient Descent Practice Two: Learning Rate
- 4.5 Feature and polynomial regression
- 4.6 Normal equation (different from direct method of iterative method)
- 4.7 The solution of the normal equation in the case of irreversible matrix
4.1 Multifunction
4.2 Multivariable gradient descent
4.3 Practice 1: Gradient Descent: Feature Scaling
4.4 Gradient Descent Practice Two: Learning Rate
4.5 Feature and polynomial regression
4.6 Normal equation (different from direct method of iterative method)
4.7 The solution of the normal equation in the case of irreversible matrix