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  2. Feature scaling - Wikipedia

    en.wikipedia.org/wiki/Feature_scaling

    Feature scaling is a method used to normalize the range of independent variables or features of data. In data processing , it is also known as data normalization and is generally performed during the data preprocessing step.

  3. Normalization (machine learning) - Wikipedia

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

    Data normalization (or feature scaling) includes methods that rescale input data so that the features have the same range, mean, variance, or other statistical properties. For instance, a popular choice of feature scaling method is min-max normalization , where each feature is transformed to have the same range (typically [ 0 , 1 ...

  4. XSL Formatting Objects - Wikipedia

    en.wikipedia.org/wiki/XSL_Formatting_Objects

    XSL-FO 1.1 refines the functionality for sizing of graphics to fit, with the ability to shrink to fit (but not grow to fit), as well as the ability to define specific scaling steps. In addition, the resulting scaling factor can be referenced for display (for example, to say in a figure caption, "image shown is 50% actual size").

  5. Feature engineering - Wikipedia

    en.wikipedia.org/wiki/Feature_engineering

    Feature engineering is a preprocessing step in supervised machine learning and statistical modeling [1] which transforms raw data into a more effective set of inputs ...

  6. Google App Engine - Wikipedia

    en.wikipedia.org/wiki/Google_App_Engine

    Google App Engine (also referred to as GAE or App Engine) is a cloud computing platform used as a service for developing and hosting web applications.Applications are sandboxed and run across multiple Google-managed servers. [2]

  7. Feature (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Feature_(machine_learning)

    In feature engineering, two types of features are commonly used: numerical and categorical. Numerical features are continuous values that can be measured on a scale. Examples of numerical features include age, height, weight, and income. Numerical features can be used in machine learning algorithms directly. [citation needed]

  8. TightVNC - Wikipedia

    en.wikipedia.org/wiki/TightVNC

    Since the 2.0 beta, TightVNC supports auto scaling, which resizes the viewer window to the remote users desktop size, regardless of the resolution of the host computer. [citation needed] TightVNC 1.3.10, released in March 2009, is the last version to support Linux/Unix. [8] This version is still often used in guides to set up VNC for Linux. [9 ...

  9. HTML Application - Wikipedia

    en.wikipedia.org/wiki/HTML_Application

    An HTML Application (HTA) is a Microsoft Windows program whose source code consists of HTML, Dynamic HTML, and one or more scripting languages supported by Internet Explorer, such as VBScript or JScript.