Machine learning is a field of artificial intelligence that gives computers the ability to learn and improve from experience without being explicitly programmed. This section provides an overview of the basics of machine learning.

What is Machine Learning?

Machine learning is the process of teaching computers to learn from data, so they can make decisions or predictions based on that data.

Types of Machine Learning

  • Supervised Learning: The computer is trained on a labeled dataset, meaning the data is already categorized or tagged with the correct answer.
  • Unsupervised Learning: The computer is given data without any labels or tags, and it has to find patterns and relationships within the data.
  • Reinforcement Learning: The computer learns to make decisions by performing actions and receiving feedback in the form of rewards or penalties.

Applications of Machine Learning

Machine learning is used in a wide variety of applications, including:

  • Image and Speech Recognition
  • Natural Language Processing
  • Medical Diagnosis
  • Financial Modeling
  • Autonomous Vehicles

Resources

For more information on machine learning, you can check out our Machine Learning Tutorials.

Machine Learning

Further Reading