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  2. Data validation - Wikipedia

    en.wikipedia.org/wiki/Data_validation

    Failures or omissions in data validation can lead to data corruption or a security vulnerability. [4] Data validation checks that data are fit for purpose, [5] valid, sensible, reasonable and secure before they are processed.

  3. Laravel - Wikipedia

    en.wikipedia.org/wiki/Laravel

    As of 2022, authors no longer recommend the use of Lumen for gaining these advantages, and promote Laravel Octane instead. [13] Laravel 5.1, released in June 2015, was the first release of Laravel to receive long-term support (LTS). New LTS versions were planned for one every two years. [14] Laravel 5.3 was released on August 23, 2016.

  4. MediaFire - Wikipedia

    en.wikipedia.org/wiki/MediaFire

    MediaFire is a file hosting, file synchronization, and cloud storage service based in Shenandoah, Texas, United States. Founded in June 2006 by Derek Labian and Tom Langridge, the company provides client software for Microsoft Windows , macOS , Linux , Android , iOS , BlackBerry 10 , and web browsers . [ 1 ]

  5. List of countries by average wage - Wikipedia

    en.wikipedia.org/wiki/List_of_countries_by...

    The average wage is a measure of total income after taxes divided by total number of employees employed. In this article, the average wage is adjusted for living expenses " purchasing power parity " (PPP).

  6. Software verification and validation - Wikipedia

    en.wikipedia.org/wiki/Software_verification_and...

    Software validation checks that the software product satisfies or fits the intended use (high-level checking), i.e., the software meets the user requirements, not as specification artifacts or as needs of those who will operate the software only; but, as the needs of all the stakeholders (such as users, operators, administrators, managers ...

  7. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]