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Difference between regression and classification

Regression gives continuous result.
Classification gives discrete result.

What is the hypothesis for linear regression?

What is the square error function in linear regression

What is the gradient descent algorithm in linear regression

repeat until convergence {

}

Does linear regression always converge to the global optimal point?

Yes. The cost function of linear regression is convex. Thus, there is only one local optimal point, which is the global optimal point.

What is the gradient descent algorithm for linear regression

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School / Univ.: Coursera

Published: 17.10.2013

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