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  1. Dictionary
    machine learning

    noun

    • 1. the use and development of computer systems that are able to learn and adapt without following explicit instructions, by using algorithms and statistical models to analyse and draw inferences from patterns in data: "the application of machine learning to biological databases has increased"
  2. May 26, 2024 · What is Machine Learning? Machine learning is a branch of artificial intelligence that enables algorithms to uncover hidden patterns within datasets, allowing them to make predictions on new, similar data without explicit programming for each task.

    • 15 min
  3. Machine learning is a branch of AI and computer science that uses data and algorithms to enable AI to learn and improve. Learn about the types, methods, and applications of machine learning, and how it differs from deep learning and neural networks.

  4. Mar 27, 2024 · Learn what machine learning is, how it works, and the different types of it powering the services and applications we rely on every day. Explore real-world examples, benefits and dangers, and beginner-friendly courses on Coursera.

  5. Machine learning is a field of artificial intelligence that develops and studies algorithms that can learn from data and generalize to unseen data. Learn about the origins, foundations, approaches, models, and problems of machine learning, as well as its applications in various fields and domains.

  6. Jul 19, 2023 · Learn what machine learning is, how it works, and why it's important in 2023. Explore the types, applications, and careers of machine learning, and how to get started with DataCamp.

  7. Machine learning is a subset of artificial intelligence that gives systems the ability to learn and optimize processes without being programmed. Learn about the types of machine learning, such as supervised, unsupervised and semi-supervised, and see examples of how they are used in various industries.

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  9. Apr 21, 2021 · Learn what machine learning is, how it works, and why it matters for business and society. This article covers the basics of machine learning, its types, applications, and challenges.

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