Definition
Machine learning, often abbreviated as ML, is a subset of artificial intelligence that enables computer systems to learn from data without being explicitly programmed. It involves developing algorithms that can identify patterns, make predictions, and improve their performance over time as they are exposed to more information. In practice, ML models are trained on vast datasets to perform specific tasks, such as classifying images or detecting anomalies. Understanding ML is crucial for professionals seeking to leverage data-driven insights and automate complex processes in their work. For instance, ML powers recommendation engines on streaming services, suggesting content based on user viewing history. Unlike traditional programming where rules are hardcoded, ML systems infer rules from data, making them adaptable to new scenarios. This topic is frequently assessed in AI and data science certifications, and is relevant to domains like cloud computing and cybersecurity.