Definition
An ML model is a program or algorithm that has been trained on a dataset to recognize patterns and make predictions or decisions. It learns from data without explicit programming, identifying complex relationships that humans might miss. In practice, an ML model takes new input data and applies the learned patterns to generate an output, such as a classification or a forecast. Understanding ML models is crucial for professionals working with AI systems, enabling them to build, deploy, and secure intelligent applications effectively. For instance, a spam filter uses an ML model trained on email content to identify and block unwanted messages. Unlike raw data, an ML model represents the processed insights and predictive capabilities derived from that data. This concept is frequently assessed in AI and cybersecurity certifications, including AWS SAA and CompTIA Security+.