In this tutorial you can learn how the gradient descent algorithm works and implement it from scratch in python. First we look at what linear regression is, then we define the loss function. We learn ...

If you are new to scikit-learn and regression analysis, this tutorial will help you learn by implementing simple linear regression models. For those who want to delve deeper, follow the upcoming ...

The linear function is popular in economics. It is attractive because it is simple and easy to handle mathematically. It has many important applications. Linear functions are those whose graph is a ...

A linear function approximator is a function y=f(x,w) that is linear in the weights, though not necessarily linear in the input x: Linear function approximators have several nice properties. For ...

Editors Note: The first in a three-part introduction to Linear Feedback Shift Registers (LFSRs), this article is abstracted from the book Bebop to the Boolean Boogie (An Unconventional Guide to ...

Abstract: Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial focuses on the performance evaluation of linear codes under optimal maximum-likelihood (ML) decoding.