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

Course Content

Linear regression for non-linear functions

Linear regression for non-linear functions

Basis visualization Basis change Polynomial approximation Sine approximation

Sine approximation

Task

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)

Task

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)

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Everything was clear?

Task

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

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Section 1. Chapter 4

AVAILABLE TO ULTIMATE ONLY

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