QA: How Reliable Are Your Machine Learning Systems? - DZone AI

In this post, you will learn about different aspects of creating a Machine Learning system with high reliability. It should be noted that system reliability is one of the key software quality attributes as per ISO 25000 SQUARE specifications. Have you put measures in place to ensure high reliability of your Machine Learning systems? As like software applications, the reliability of Machine Learning systems is primarily related to the fault tolerance and recoverability of the system in production. In addition, the reliability of ML systems is related to how reliable is the training process of ML models. Let's look into the details related to both the aspects: Fault tolerance of ML systems could be defined as the behavior of the system when the model performance starts degrading beyond the acceptable limits.