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  2. Sylvan Learning - Wikipedia

    en.wikipedia.org/wiki/Sylvan_Learning

    In 2003, Sylvan Learning was purchased by Apollo Management from Sylvan Learning Systems Inc., its parent company. [ 2 ] [ 3 ] (Sylvan Learning Systems Inc. shifted focus to post-secondary education , and to reflect that change was renamed Laureate Education in 2004.) [ 3 ] In 2016, John McAuliffe was named as Chief Executive Officer.

  3. Cost-sensitive machine learning - Wikipedia

    en.wikipedia.org/.../Cost-sensitive_machine_learning

    The cost matrix is a crucial element within cost-sensitive modeling, [2] explicitly defining the costs or benefits associated with different prediction errors in classification tasks. Represented as a table, the matrix aligns true and predicted classes, assigning a cost value to each combination.

  4. Laureate Education - Wikipedia

    en.wikipedia.org/wiki/Laureate_Education

    Laureate Education was originally created by Douglas Becker in 1998, as Sylvan International Universities, an operational division of Sylvan Learning Systems that would focus on post-secondary institutions. At the time, Sylvan was primarily focused on services for students in primary and secondary education through company owned and franchise ...

  5. College cost calculator - Wikipedia

    en.wikipedia.org/wiki/College_cost_calculator

    A college cost calculator, in the United States, is an online tool allowing students and their parents to calculate how much college is likely to cost. [1] [2] Numbers are input into the online calculator, and if done properly, it gives an estimate of the likely expenses for that student attending that particular college.

  6. Prometric - Wikipedia

    en.wikipedia.org/wiki/Prometric

    Prometric's computerized testing centers were founded by Drake International in 1990 under the name Drake Prometric. [1] In 1995, Drake Prometric L.P. was sold to Sylvan Learning in a cash and stock deal worth approximately $44.5 million. [2]

  7. Loss function - Wikipedia

    en.wikipedia.org/wiki/Loss_function

    In many applications, objective functions, including loss functions as a particular case, are determined by the problem formulation. In other situations, the decision maker’s preference must be elicited and represented by a scalar-valued function (called also utility function) in a form suitable for optimization — the problem that Ragnar Frisch has highlighted in his Nobel Prize lecture. [4]

  8. Learning curve (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Learning_curve_(machine...

    In machine learning (ML), a learning curve (or training curve) is a graphical representation that shows how a model's performance on a training set (and usually a validation set) changes with the number of training iterations (epochs) or the amount of training data. [1]

  9. Learning curve - Wikipedia

    en.wikipedia.org/wiki/Learning_curve

    The learning curve may refer to a specific task or a body of knowledge. Hermann Ebbinghaus first described the learning curve in 1885 in the field of the psychology of learning, although the name did not come into use until 1903. [4] [5] In 1936 Theodore Paul Wright described the effect of learning on production costs in the aircraft industry. [6]