Artificial Intelligence (AI) is a broad field in computer science focused on creating machines that can exhibit intelligent behavior. This includes abilities like reasoning, problem-solving, learning, planning, and even understanding natural language. AI encompasses many approaches and techniques, and Machine Learning is one of them. The goal of AI is to enable machines to perform tasks that typically require human intelligence.
Machine Learning (ML) is a subfield of AI that focuses on developing algorithms that allow machines to learn from data without being explicitly programmed for every possible outcome. By recognizing patterns in large datasets, these systems can make predictions or decisions. A common example is how recommendation systems work, like those on streaming services, which learn what you like based on your viewing history.
In short, all Machine Learning is AI, but not all AI is Machine Learning. Machine Learning is a powerful tool within the broader umbrella of AI, making World-Wide Q&A possible by making systems smarter. It helps build the intelligent systems we use daily and shapes our digital world.