Introduction to Machine Learning

Definition of Machine Learning

Machine learning is a subset of artificial intelligence that focuses on the development of algorithms and statistical models that enable computers to perform tasks without explicit instructions, relying on patterns and inference instead.

Types of Machine Learning

Machine learning can be categorized into three main types:

  • Supervised Learning: Learning from labelled data, where the algorithm learns a mapping from input to output.
  • Unsupervised Learning: Learning from unlabeled data, where the algorithm identifies patterns or structures in the data.
  • Reinforcement Learning: Learning through trial and error by interacting with an environment and receiving feedback in the form of rewards or penalties.

Applications of Machine Learning

Machine learning has a wide range of applications across various domains, including:

  • Predictive analytics
  • Natural language processing
  • Computer vision
  • Robotics
  • Healthcare
  • Finance
  • E-commerce

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