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 ...

This repository is associated with the chapter titled Gradient Descent Methods in Machine Learning in the book Cross-Curricular Applications for Pure Mathematics Courses. Lesson 0 is about how to ...

The gradient operator always ensures that we are travelling in the best direction feasible. Are you looking for a complete repository of Python libraries used in data science, check out here. When to ...

Gradient Descent finds the minima of cost function, by using the derivative of the cost function w.r.t parameters. Without applying Gradient Descent, we cannot train any model in Machine Learning ...

The cost function in several machine learning algorithms is minimized using the optimization approach gradient descent. Its primary objective is to update the parameters of a learning algorithm. These ...