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  2. Management Learning - Wikipedia

    en.wikipedia.org/wiki/Management_Learning

    Management Learning is a peer-reviewed academic journal that publishes papers in the field of management five times per year. The journal's editors are Emma Bell (Keele University) and Todd Bridgman (Victoria University of Wellington). The journal was established in 1970 and is published by SAGE Publications.

  3. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning methods based on neural networks with representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.

  4. Learning Management - Wikipedia

    en.wikipedia.org/wiki/Learning_Management

    Learning Management is the capacity to design pedagogic strategies that achieve learning outcomes for students.The learning management concept was developed by Richard Smith of Central Queensland University (Australia) and is derived from architectural design (an artful arrangement of resources for definite ends) and is best rendered as design with intent. [1]

  5. Google Classroom - Wikipedia

    en.wikipedia.org/wiki/Google_Classroom

    Google Classroom is a free blended learning platform developed by Google for educational institutions that aims to simplify creating, distributing, and grading assignments. . The primary purpose of Google Classroom is to streamline the process of sharing files between teachers and students.

  6. Collaborative learning - Wikipedia

    en.wikipedia.org/wiki/Collaborative_learning

    Collaborative learning is a situation in which two or more people learn or attempt to learn something together. [1] Unlike individual learning, people engaged in collaborative learning capitalize on one another's resources and skills (asking one another for information, evaluating one another's ideas, monitoring one another's work, etc.).

  7. Reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning

    Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent ought to take actions in a dynamic environment in order to maximize the cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and ...

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