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  2. Chegg - Wikipedia

    en.wikipedia.org/wiki/Chegg

    Chegg began trading shares publicly on the New York Stock Exchange in November 2013. [15] Its IPO was reported to have raised $187.5 million, with an initial market capitalization of about $1.1 billion. [16] In 2014, Chegg entered a partnership with book distributor Ingram Content Group to distribute all of Chegg's physical textbook rentals ...

  3. Chegg Tutors - Wikipedia

    en.wikipedia.org/wiki/Chegg_Tutors

    Chegg Tutors was founded in 2011 as InstaEDU and launched into public beta in May 2012. At that time, the company also announced that it had raised $1.1M in venture capital funding from The Social+Capital Partnership. [2] Two of the company's co-founders had previously run an in-home tutoring company called Cardinal Scholars.

  4. Least squares - Wikipedia

    en.wikipedia.org/wiki/Least_squares

    The result of fitting a set of data points with a quadratic function Conic fitting a set of points using least-squares approximation. In regression analysis, least squares is a parameter estimation method based on minimizing the sum of the squares of the residuals (a residual being the difference between an observed value and the fitted value provided by a model) made in the results of each ...

  5. Data dredging - Wikipedia

    en.wikipedia.org/wiki/Data_dredging

    The process of data dredging involves testing multiple hypotheses using a single data set by exhaustively searching—perhaps for combinations of variables that might show a correlation, and perhaps for groups of cases or observations that show differences in their mean or in their breakdown by some other variable.

  6. Multivariate interpolation - Wikipedia

    en.wikipedia.org/wiki/Multivariate_interpolation

    In numerical analysis, multivariate interpolation or multidimensional interpolation is interpolation on multivariate functions, having more than one variable or defined over a multi-dimensional domain. [1] A common special case is bivariate interpolation or two-dimensional interpolation, based on two variables or two dimensions.

  7. Minimum bounding box algorithms - Wikipedia

    en.wikipedia.org/wiki/Minimum_bounding_box...

    Then, this initial bounding box is partitioned into a grid of smaller cubes, and grid points near the boundary of the convex hull of the input are used as a coreset, a small set of points whose optimum bounding box approximates the optimum bounding box of the original input. Finally, O'Rourke's algorithm is applied to find the exact optimum ...

  8. Markus Hess - Wikipedia

    en.wikipedia.org/wiki/Markus_Hess

    Markus Hess is a German hacker who was active in the 1980s. Alongside Dirk Brzezinski and Peter Carl, [1] Hess hacked into networks of military and industrial computers based in the United States, Europe and East Asia, and sold the information to the Soviet KGB for US$54,000.

  9. Free variables and bound variables - Wikipedia

    en.wikipedia.org/wiki/Free_variables_and_bound...

    Variable binding relates three things: a variable v, a location a for that variable in an expression and a non-leaf node n of the form Q(v, P). Note: we define a location in an expression as a leaf node in the syntax tree. Variable binding occurs when that location is below the node n. In the lambda calculus, x is a bound variable in the term M ...