The goal of a regression problem is to predict a single numeric value, for example, predicting the price of a used car based on variables such as mileage, brand and year manufactured. There are ...

Dr. James McCaffrey of Microsoft Research presents the second of four machine learning articles that detail a complete end-to-end production-quality example of neural regression using PyTorch. The ...

PyTorch is a very popular machine learning library used to solved all kinds of problems, including regression and classification. In this article, we'll have a look at a typical workflow for a simple ...

In the Jupyter Notebooks, a simple Linear Regression machine learning algorithm using PyTorch is implemented with Python programming. The Linear Regression model makes predictions about a person's ...