Artificial Intelligence (AI) and Machine Learning (ML) are interconnected but distinct fields. AI refers to the broader concept of creating systems capable of performing tasks that typically require human intelligence, such as problem-solving, reasoning, and decision-making. Machine Learning, a subset of AI, focuses on enabling machines to learn from data and improve their performance without explicit programming. While AI aims to simulate human cognition, ML emphasizes algorithms that identify patterns and make predictions. AI encompasses areas like robotics and natural language processing, while ML primarily deals with data-driven models. To delve deeper into these fields, consider enrolling in an AI and machine learning course.
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