This paper considers the problem of multi-agent distributed linear regression in the presence of system noises. In this problem, the system comprises multiple agents wherein each agent locally ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as ...

It implements the matrix form of linear regression and applies it to a real-world dataset. The notebook covers data loading, exploration, and preprocessing before implementing linear regression models ...

Ruder, S. (2017) An Overview of Gradient Descent Optimization Algorithms. arXiv 1609.04747.

Linear Regression with Gradient Descent This is a simple and straightforward project to predict California housing prices using linear regression implemented with gradient descent. The model is ...

The paper proposes a method for developing a linear model for Proportional Integral Derivative (PID) parameters of a PID controller. The approach is based on linear regression and it uses gradient ...