AI vs ML vs DL

🤖 AI vs ML vs DL

AI (Artificial Intelligence)

Concept: The broad science of making machines smart — able to think, learn, and make decisions. Is it a subset of… Main field Example: Chatbots, Self-driving cars

ML (Machine Learning)

Concept: A branch of AI that trains machines to learn from data without being explicitly programmed. Is it a subset of… AI Example: Spam filters, Product recommendations

DL (Deep Learning)

Concept: A specialized type of ML using neural networks with multiple layers to mimic how humans learn complex patterns. Is it a subset of… ML Example: Face recognition, Voice assistants

🔍 Quick Summary: AI vs ML vs DL

🤖 Artificial Intelligence (AI)

  • Scope: Broad
  • Human-like Reasoning: Yes
  • Data Dependency: Varies
  • Examples: Robotics, Planning, NLP

📊 Machine Learning (ML)

  • Scope: Learning from data
  • Human-like Reasoning: Not always
  • Data Dependency: High
  • Examples: Spam filters, recommendations

🧠 Deep Learning (DL)

  • Scope: Neural networks
  • Human-like Reasoning: No
  • Data Dependency: Very High
  • Examples: Face recognition, LLMs

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