This resource is for learners who want to move beyond using machine learning libraries as "black boxes" and understand the core mechanics of how models like neural networks actually learn. We will ...

Abstract: This article deals with the identification problems of multivariable nonlinear systems. A coupled gradient algorithm is developed based on the decomposition technique. Using the Kronecker ...

Abstract: In this paper, we address the design and analysis of multivariable extremum seeking for unknown static maps subject to arbitrarily long time delays. Gradient-based method is considered.

This repository contains the implementation of a Multivariable Linear Regression model trained using the Gradient Descent optimization algorithm. The goal of this project is to model the relationship ...