Machine Learning

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Machine learning and Its Types

• Machine learning is a subfield of artificial
  intelligence (AI) that focuses on the development
  of algorithms and models that enable computers to
  learn and improve their performance on specific
  tasks without being explicitly programmed. In
  traditional programming, developers write
  explicit instructions to solve a problem. In
  contrast, machine learning algorithms use data to
  learn patterns, relationships, and rules, which
  they can then use to make predictions, decisions,
  or solve complex problems.
• Supervised Learning Learns from labeled data to
  make predictions or classifications on new data.
• Unsupervised Learning Learns from unlabeled data
  to find patterns and structures without explicit
  output labels.
• Reinforcement Learning Algorithms where an agent
  learns to make decisions in an environment.

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