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  2. History of virtual learning environments - Wikipedia

    en.wikipedia.org/wiki/History_of_virtual...

    A Virtual Learning Environment (VLE) is a system specifically designed to facilitate the management of educational courses by teachers for their students. It predominantly relies on computer hardware and software, enabling distance learning. In North America, this concept is commonly denoted as a "Learning Management System" (LMS).

  3. Moodle - Wikipedia

    en.wikipedia.org/wiki/Moodle

    Moodle (/ ˈ m uː d əl / MOO-dəl) is a free and open-source learning management system written in PHP and distributed under the GNU General Public License. Moodle is used for blended learning, distance education, flipped classroom and other online learning projects in schools, universities, workplaces and other sectors.

  4. ANGEL Learning - Wikipedia

    en.wikipedia.org/wiki/ANGEL_Learning

    The ANGEL LMS is used by K-12 schools and districts, community colleges, universities and proprietary schools to create Virtual Learning Environments for online learning and to offer hybrid or blended (web-enhanced) classes. Corporations also use the system for online corporate training. The latest version, 7.4, was released in April 2009.

  5. List of learning management systems - Wikipedia

    en.wikipedia.org/wiki/List_of_learning...

    Edmodo (closed in 2022) Elluminate (acquired by Blackboard in 2010) Learn.com (acquired by Taleo in 2010) PeopleSoft (acquired by Oracle in 2005) Plateau Systems (acquired by Successfactors in 2011) Softscape (acquired by SumTotal in 2010) SuccessFactors (acquired by SAP in 2012) SumTotal (acquired by Skillsoft in 2014)

  6. Least mean squares filter - Wikipedia

    en.wikipedia.org/wiki/Least_mean_squares_filter

    This cost function (()) is the mean square error, and it is minimized by the LMS. This is where the LMS gets its name. Applying steepest descent means to take the partial derivatives with respect to the individual entries of the filter coefficient (weight) vector

  7. Stochastic gradient descent - Wikipedia

    en.wikipedia.org/wiki/Stochastic_gradient_descent

    Stochastic gradient descent is a popular algorithm for training a wide range of models in machine learning, including (linear) support vector machines, logistic regression (see, e.g., Vowpal Wabbit) and graphical models. [21] When combined with the back propagation algorithm, it is the de facto standard algorithm for training artificial neural ...

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