This document compares statistics and machine learning. It notes that while the goals of measurement (statistics) and artificial intelligence are almost equivalent, the key distinction between the two is the volume of information and human involvement needed to build a model. Statistics involves using data and ideas to understand human behavior, while machine learning is a developing technology used in various fields like image recognition and autonomous vehicles. The document discusses how both statistics and machine learning are important in industries like business, banking, government, and more to turn raw data into meaningful insights.