Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

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 ...

Gradient, a startup building a platform to let companies fine-tune and deploy multiple LLMs, has raised $10 million in seed funding.

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 ...

We propose a method for estimating glacier flowlines through local linear regression gradient descent (gd-flow) on digital elevation model (DEM) images. We additionally propose an aggregation method ...