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

Sine approximation

Tarea

Add sine to the array of basis functions. Complete the function for calculating the value of our function at a point (calculate) and the function for calculating the partial derivative (derivative)

Tarea

Add sine to the array of basis functions. Complete the function for calculating the value of our function at a point (calculate) and the function for calculating the partial derivative (derivative)

Mark tasks as Completed

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

¿Todo estuvo claro?

Tarea

Add sine to the array of basis functions. Complete the function for calculating the value of our function at a point (calculate) and the function for calculating the partial derivative (derivative)

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 4

AVAILABLE TO ULTIMATE ONLY

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