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Normal Equation

In this article I want to make a brief introduction to normal equation method. The article is following the Coursera structure, summarizing the following aspects: some theoretical points two practical examples general case advantages and disadvantages between gradient descent and normal equation

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Gradient descent for linear regression (1)

A very common method used for defining a model and estimating its parameters, it is to minimize model’s errors with Gradient Descend. The Gradient Descent estimates the weights of the model in many iterations by minimizing a cost function at every step.

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