Machine learning 101

Summary

Machine learning (ML) algorithms use data to make decisions or predictions, improving over time as more data is provided. ML is a subset of AI, focused on models that learn from data, contrasting with rule-based systems. ML is superior in scenarios where rules are not exhaustive, such as medical scans, but rule-based systems and ML often complement each other. Why it matters: This overview clarifies the role of machine learning within the broader field of AI, highlighting its data-driven approach and its advantages over traditional rule-based systems in complex decision-making scenarios.