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 Artificial Intelligence (AI) and Machine Learning

ChatGPT said:

Artificial Intelligence (AI) and Machine Learning (ML) are closely related fields that focus on creating intelligent systems capable of learning and making decisions. Here's a quick breakdown:

Artificial Intelligence (AI)

AI is a broad field of computer science that aims to create machines that can perform tasks that typically require human intelligence. These tasks include:

  • Problem-solving
  • Decision-making
  • Understanding natural language (NLP)
  • Recognizing patterns
  • Learning from experience

AI can be narrow (weak AI), designed for specific tasks (e.g., Siri, chatbots), or general (strong AI), which can understand, learn, and apply intelligence across various domains like a human (which does not yet exist).

Machine Learning (ML)

ML is a subset of AI that focuses on algorithms that allow computers to learn from data and improve over time without being explicitly programmed. It involves:

  • Supervised learning: The system learns from labeled data (e.g., spam email detection).
  • Unsupervised learning: The system finds patterns in unlabeled data (e.g., customer segmentation).
  • Reinforcement learning: The system learns through trial and error to maximize rewards (e.g., AlphaGo, self-driving cars).

Key Applications of AI & ML

  • Healthcare: Disease diagnosis, personalized treatment plans.
  • Finance: Fraud detection, stock market predictions.
  • Retail: Personalized recommendations, demand forecasting.
  • Autonomous Systems: Self-driving cars, robotics.
  • Natural Language Processing (NLP): Chatbots, language translation.

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