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  2. 9 Best First Jobs for Remote Work That Will Land You in the ...

    www.aol.com/9-best-first-jobs-remote-170021269.html

    Proofreader. National average salary: $50,263 per year. Primary duties: Proofreaders review written content, recognize any mistakes, and fix them to maintain readability and accuracy. They may ...

  3. How to land a high-paying remote job - AOL.com

    www.aol.com/finance/land-high-paying-remote-job...

    Change Your Hunting Grounds, and Consider Paying To Play. Antoine Boquen, CEO and co-founder of HR management software provider Horizons, thinks that step No. 1 to landing a good remote job is to ...

  4. Find Remote Jobs at These 41 Work-From-Home Companies - AOL

    www.aol.com/remote-jobs-32-home-companies...

    Find Remote Jobs at These 41 Work-From-Home Companies. cat.hiles@gmail.com (Catherine Hiles) October 31, 2022 at 1:42 PM. Since the beginning of the COVID-19 pandemic, more and more Americans have ...

  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. Learning management system - Wikipedia

    en.wikipedia.org/wiki/Learning_management_system

    A learning management system ( LMS) or virtual learning environment ( VLE) is a software application for the administration, documentation, tracking, reporting, automation, and delivery of educational courses, training programs, materials or learning and development programs. [1] The learning management system concept emerged directly from e ...

  7. 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

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