Neural Regression Classification Using PyTorch: Preparing Data

The Data Science Lab Dr. James McCaffrey of Microsoft Research presents the first in a series of four machine learning articles that detail a complete end-to-end production-quality example of neural regression using PyTorch. The goal of a regression problem is to predict a single numeric value, for example, predicting the annual income of an employee based on variables such as age and job title.