Category: Machine Learning

1. Introduction of Cost Function in Machine Learning Linear regression in machine learning via gradient descent can be used to estimate slope (b1) and intercept (b0) for a linear regression model. The criteria for selecting the right b0 and b1...

What is Gradient Descent? Gradient Descent (GD) is an optimization algorithm using gradient to help find a local minimum of a function. (For more details on gradients, please refer to my other tutorial.) When the function is convex, a local minimum is also...

Gradient for 2-dimension (x-y) In simpler terms, a gradient is a slope. You can calculate a function’s first-order derivative to get its gradient. This tutorial explains gradients with an example and plots. For instance, the following is a function of x, and...