Primer · 1 page

What Is Machine Learning (ML), and How Do We Use It?

How does a model learn what comes before an incident?

A short primer on machine learning for safety. It explains how models such as decision trees and Bayesian networks learn from historical incident, maintenance and inspection data to detect patterns that come before incidents, and to classify and prioritize risks so safety managers can focus on the most critical hazards.

Page 1 of the PDF

  • What machine learning is, and how it differs from rule-based logic.
  • How models such as decision trees and Bayesian networks learn from historical incident, maintenance and inspection data.
  • Using those models to classify and prioritize risks, so safety managers can focus on the most critical hazards.

Who should read it?

Safety managers and analysts curious about what machine learning can do with their data.