Machine Learning (ML) and Artificial Intelligence (AI) are fields within computer science that focus on creating systems capable of performing tasks that would typically require human intelligence.

Machine Learning (ML)

ML is a subset of AI that enables systems to learn and improve from experience without being explicitly programmed. By using large amounts of data, ML algorithms can detect patterns, make predictions, and adapt over time. ML powers many everyday applications, such as personalized recommendations, fraud detection, and image recognition.

Artificial Intelligence (AI)

AI is a broad area of computer science aimed at building machines that can perform tasks that require human-like intelligence. These tasks include reasoning, problem-solving, understanding natural language, recognizing patterns, and making decisions. There are two main types of AI:

• Narrow AI: Specialized to perform a single task, like language translation or facial recognition.
• General AI: A more theoretical form, where a machine would possess human-level intelligence across a wide range of activities (still largely in research).

In short, AI encompasses the concept of machines “thinking,” while ML is one of the ways to achieve that by learning from data.

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