The difference between AI vs Machine Learning. AI (Artificial Intelligence) is a broad field that focuses on creating machines capable of mimicking human intelligence. Machine learning (ML) is a subset of AI that allows systems to learn from data and improve performance over time without being explicitly programmed. While AI encompasses areas like robotics, reasoning, and decision-making, ML specifically deals with data-driven learning algorithms. AI aims for broader cognitive capabilities, while ML focuses on statistical pattern recognition. In practice, many modern AI applications, including speech recognition and recommendation engines, rely heavily on ML. Understanding the distinction helps in choosing the right technology for specific use cases and goals.