Linear regression for non-linear functions

Linear regression for non-linear functions

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Despite its seeming limitations, linear regression allows us to approximate not only linear functions, but also square, cubic and other polynomials. We also can add more functions to the basis and approximate, for example, functions with trigonometric expressions, roots, exponents and so on.

Basis visualization

Polynomial approximation

Sine approximation

Contenido del Curso

Linear regression for non-linear functions

Linear regression for non-linear functions

Basis visualization Basis change Polynomial approximation Sine approximation

Polynomial approximation

Tarea

Complete this gradient descent linear regression code to approximate a small portion of the sine with a cubic function. You have to complete the partial derivative formula and write the gradient descent step

Tarea

Complete this gradient descent linear regression code to approximate a small portion of the sine with a cubic function. You have to complete the partial derivative formula and write the gradient descent step

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¿Todo estuvo claro?

Tarea

Complete this gradient descent linear regression code to approximate a small portion of the sine with a cubic function. You have to complete the partial derivative formula and write the gradient descent step

Mark tasks as Completed

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

Sección 1. Capítulo 3

AVAILABLE TO ULTIMATE ONLY

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