Difference between artificial intelligence and machine learning
The terms Artificial Intelligence (AI) and Machine Learning (ML) are often used interchangeably, but they are not the same. Here's a clear breakdown of the difference:
🔹 Artificial Intelligence (AI)
Definition: AI is the broader concept of machines being able to carry out tasks in a way that we would consider “smart.”
Goal: To create systems that can simulate human intelligence, such as reasoning, learning, problem-solving, perception, and understanding language.
Examples:
- Voice assistants like Siri or Alexa
- Self-driving cars
- Chatbots
- Image recognition systems
🔹 Machine Learning (ML)
Definition: ML is a subset of AI that involves teaching a machine to learn from data without being explicitly programmed for every task.
Goal: To enable machines to learn from data and improve over time without human intervention.
Examples:
- Spam email filtering
- Product recommendations (like on Amazon or Netflix)
- Credit card fraud detection
- Predictive text suggestions
🔁 Relationship:
Think of AI as the big picture, and ML as one way to achieve AI.
- AI = Intelligence
- ML = Learning from data to become intelligent
🔍 Analogy:
AI is the brain, and ML is the way it learns.
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