Choosing Between A Rule-based Vs. Machine Learning System

This article discusses the pros and cons of rule-based systems and machine learning systems in various use cases. While rule-based systems are more cost-effective and have a narrower margin for error, they can become complex and time-consuming to modify. On the other hand, machine learning systems can handle greater complexity but may sacrifice accuracy. The article uses the example of home loan approval to illustrate these points.