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How is machine learning related to AI?

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PHYSICS CHEMISTRY MATHEMATICS TEACHER FROM LAST 10 YEARS

Machine learning is a subset of artificial intelligence (AI). AI is the broader concept of enabling machines to perform tasks that typically require human intelligence, while machine learning is a specific method within AI that focuses on algorithms learning from data and improving without explicit programming....
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Machine learning is a subset of artificial intelligence (AI). AI is the broader concept of enabling machines to perform tasks that typically require human intelligence, while machine learning is a specific method within AI that focuses on algorithms learning from data and improving without explicit programming. Essentially, machine learning is a key tool that helps AI systems learn and adapt, making them more intelligent and capable. 

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Doctor by profession teacher by passion

Machine learning is a subset of artificial intelligence (AI). AI is the broader concept of machines performing tasks that typically require human intelligence, while machine learning focuses on enabling machines to learn from data and improve their performance without explicit programming. Essentially,...
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Machine learning is a subset of artificial intelligence (AI). AI is the broader concept of machines performing tasks that typically require human intelligence, while machine learning focuses on enabling machines to learn from data and improve their performance without explicit programming. Essentially, machine learning provides the means for AI to achieve its goals of learning and adapting. 

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13 Years of Experience in IT Industry (Working in Top MNC)

🔹 Artificial Intelligence (AI) The broader field that aims to make machines act smart, like humans. It includes: Logic and rule-based systems Planning and reasoning Expert systems Machine learning Robotics, Natural Language Processing (NLP), and more 🔹 Machine...
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🔹 Artificial Intelligence (AI)

  • The broader field that aims to make machines act smart, like humans.

  • It includes:

    • Logic and rule-based systems

    • Planning and reasoning

    • Expert systems

    • Machine learning

    • Robotics, Natural Language Processing (NLP), and more

🔹 Machine Learning (ML)

  • A subset of AI.

  • Instead of being explicitly programmed with rules, machines learn patterns from data.

  • It's how many modern AI systems are built today.

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