About this document
Function Approximation in Machine Learning by parth2024 is a document available to read on EtoBox.
The document discusses function approximation, which is approximating an unknown function f(x) using a simpler function. It presents methods for approximating a function on an interval using polynomials of varying degrees. Specifically, it shows how to construct a unique second-degree interpolation polynomial that matches the value of f(x) at three given points. More generally, it describes approximating a function using a weighted sum of simpler basis functions. The goal is for the approximation to be arbi
- Author
- parth2024
- Language
- EN