Artificial Intelligence (AI) is a broad field of computer science focused on creating systems capable of performing tasks that typically require human intelligence. These tasks include reasoning, problem-solving, perception, language understanding, and decision-making. AI systems can be rule-based or learn from data, and they are used in applications like virtual assistants, recommendation engines, robotics, and autonomous vehicles.
Machine Learning (ML) is a subset of AI that enables systems to learn and improve from experience without being explicitly programmed. ML algorithms find patterns in data and use them to make predictions or decisions. Common types of ML include:
Supervised learning: learns from labeled data.
Unsupervised learning: finds patterns in unlabeled data.
Reinforcement learning: learns by interacting with an environment and receiving feedback.
ML powers many AI applications, such as image recognition, speech-to-text, fraud detection, and personalized marketing.
In summary, AI is the broader concept of intelligent machines, while ML is one of the most powerful and widely used ways to achieve AI. Together, they are driving innovation across industries, from healthcare to finance to entertainment.
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