GitHub

Gradient-Descent-Explained-with-Python-A-Machine-Learning-Approach

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 ...
IEEE

A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning

Abstract: A Markov Decision Process (MDP) is a natural framework for formulating sequential decision-making problems under uncertainty. In recent years, researchers have greatly advanced algorithms ...
GitHub

linear_algebra_tutorial.md

Linear algebra forms the mathematical backbone of data science and machine learning algorithms. This comprehensive tutorial covers essential linear algebra concepts, from basic matrix operations to ...
EDN

Tutorial: Linear Feedback Shift Registers (LFSRs) – Part 1

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 ...
The Earth Institute Columbia University

Linear Functions

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 ...