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  2. Learning log - Wikipedia

    en.wikipedia.org/wiki/Learning_log

    Learning Logs are a personalized learning resource for children. In the learning logs, the children record their responses to learning challenges set by their teachers. Each log is a unique record of the child's thinking and learning. The logs are usually a visually oriented development of earlier established models of learning journals, which ...

  3. Log–log plot - Wikipedia

    en.wikipedia.org/wiki/Loglog_plot

    Comparison of Linear, Concave, and Convex Functions In original (left) and log10 (right) scales. In science and engineering, a loglog graph or loglog plot is a two-dimensional graph of numerical data that uses logarithmic scales on both the horizontal and vertical axes. Power functions – relationships of the form – appear as straight ...

  4. Logarithm - Wikipedia

    en.wikipedia.org/wiki/Logarithm

    In mathematics, the logarithm is the inverse function to exponentiation. That means that the logarithm of a number x to the base b is the exponent to which b must be raised to produce x. For example, since 1000 = 103, the logarithm base of 1000 is 3, or log10 (1000) = 3.

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    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  6. Loss functions for classification - Wikipedia

    en.wikipedia.org/wiki/Loss_functions_for...

    In machine learning and mathematical optimization, loss functions for classification are computationally feasible loss functions representing the price paid for inaccuracy of predictions in classification problems (problems of identifying which category a particular observation belongs to). [1] Given as the space of all possible inputs (usually ...

  7. Probably approximately correct learning - Wikipedia

    en.wikipedia.org/wiki/Probably_approximately...

    In computational learning theory, probably approximately correct ( PAC) learning is a framework for mathematical analysis of machine learning. It was proposed in 1984 by Leslie Valiant. [1] In this framework, the learner receives samples and must select a generalization function (called the hypothesis) from a certain class of possible functions.

  8. GCFLearnFree.org - Wikipedia

    en.wikipedia.org/wiki/GCFLearnFree.org

    GCFLearnFree. edu.GCFGlobal.org (formerly GCFLearnFree.org) is a free online educational website focusing on technology, job training, reading, and math skills. The site is a program of the Goodwill Community Foundation Inc. (GCF). All content in English is created in Raleigh, North Carolina and all the content in Spanish Bogotá, Colombia ...

  9. Learning curve - Wikipedia

    en.wikipedia.org/wiki/Learning_curve

    A learning curve is a graphical representation of the relationship between how proficient people are at a task and the amount of experience they have. Proficiency (measured on the vertical axis) usually increases with increased experience (the horizontal axis), that is to say, the more someone, groups, companies or industries perform a task ...

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